USA

Dec

2025

Surya Mathialagan

Born in India and Grew up in Singapore • Studied Mathematics and Computer Science at Caltech • PhD in Computer Science from MIT • Lives in California, USA • Postdoctoral Researcher at NTT Research, USA

What first drew me to mathematics wasn’t numbers or formulas – it was the satisfaction of knowing why something was true. I loved puzzles and logic problems from an early age, and my parents noticed. I was extremely fortunate because they did their best to find the support I needed to keep exploring that interest and progress in the math Olympiad scene. I later represented Singapore several times in the China Girls’ Mathematical Olympiad. Those experiences drew me in. I loved the structure of Olympiad problems – the feeling that, with enough persistence, all the puzzle pieces would eventually fit. But what fascinated me most was the idea of a proof. Proofs were like perfectly tuned explanations: elegant, inevitable, and deeply satisfying. I remember learning how to write one and being amazed that something as human as convincing someone of something could be captured by precise logic.

For example, is solving a Sudoku puzzle as easy as checking that a completed Sudoku grid is valid?

During my undergraduate studies at California Institute of Technology, I learned that the idea of “proofs” also lies at the heart of theoretical computer science. I encountered the seminal P vs NP problem, which asked whether “finding a proof” (NP) is as easy as “verifying a proof” (P). For example, is solving a Sudoku puzzle as easy as checking that a completed Sudoku grid is valid? On the face of it, the former seems much more difficult – but for all we know, both tasks could be equally “easy” (i.e. NP = P). This is one of the biggest unsolved mysteries in theoretical computer science, and it drew me in with the deep mathematical ideas that had been developed to understand it. I soon decided to pursue a joint major in mathematics and computer science to explore that theory more deeply.

I could not stop thinking about this, how much can we push the limits of what a proof can look like?

Later, I took a cryptography class that introduced a concept called zero-knowledge proofs, which changed the way I viewed proofs. Proofs didn’t have to be static write-ups – they could be interactive, even conversational in some sense. With this relaxation, zero-knowledge formalized the idea of convincing someone that something is true without revealing why. For example, you could prove that you know a solution to a Sudoku without giving away the solution itself. It seemed absurd, but it was possible. I could not stop thinking about this, how much can we push the limits of what a proof can look like?

I also had the first taste of pursuing mathematics research during my time at Caltech. It was the first time mathematics felt creative rather than competitive. I had to decide for myself what questions to ask and what counted as progress. It was the first time I’d worked on something where there wasn’t a clear notion of “done.” I enjoyed the freedom that I had to choose where I wanted the project to go. I was motivated to keep doing this, and I decided to pursue a PhD in theoretical computer science.

During my PhD at MIT, I explored more problems in theoretical computer science, and landed on a problem that I am still obsessed with: constructing succinct proofs. Like zero knowledge, succinct proofs redefine what a “proof” can look like, but in a different way – they capture the idea that you can convince someone of a complex statement using a proof that is much shorter than the statement itself. For example, could we prove that a 100 x 100 Sudoku has a solution by providing a proof containing only 128 bits, instead of 10,000? At first, this seemed completely ridiculous. How could a proof possibly be shorter than the thing it proves? It shouldn’t even be possible. But instead of assuming an all-powerful prover, if we assume the prover has limited resources, say finite time – then it actually might be.

While I was at MIT, I had the privilege of being mentored by several incredible female professors whose sharpness and confidence quietly shifted how I saw myself.

That tension between truth and feasibility made me appreciate the “engineering” side of theoretical cryptography: sometimes the goal isn’t to prove that something exists unconditionally, but to show that it can exist within realistic limits. And one doesn’t need to stop there – one could also ask for a proof to be both succinct and zero-knowledge simultaneously! Indeed, succinct zero-knowledge proofs (sometimes called zk-proofs or zk-SNARKs) are now the backbone of blockchains, allowing large computations to be verified efficiently while maintaining privacy.

Representation shapes what seems possible, even when no one says it out loud. I feel so incredibly lucky to have crossed paths with these incredible women.

While I was at MIT, I had the privilege of being mentored by several incredible female professors whose sharpness and confidence quietly shifted how I saw myself. Watching them made it feel more plausible that I could be a researcher or academic too. Earlier in my life, during the Math Olympiad or even at Caltech, I was often one of the few girls in the room. At the time, I didn’t think much of it, but looking back, I realize how much visibility matters. Representation shapes what seems possible, even when no one says it out loud. I feel so incredibly lucky to have crossed paths with these incredible women.

Perhaps my favourite thing about doing research is that unlike Olympiad math, it doesn’t exist in a vacuum – research is deeply conversational. I’ve learned that sharing half-formed thoughts – defending, revising, and rebuilding them – is often how the most enjoyable mathematics happens. Each discussion shifts how you see the problem, and sometimes that’s enough to move it forward. I’ve also come to enjoy the part that happens after the proof is done. I enjoy giving talks, explaining the ideas to others, and seeing how they react. Good talks feel like an extension of research itself: a chance to start a conversation about mathematical ideas.

I am now a postdoctoral researcher at NTT Research, a research lab based in California. I still work on constructing zero-knowledge succinct proofs and other related cryptography problems. Even though I work on theoretical computer science, by an ironic turn of events, much of my recent work uses traditional mathematical proofs to construct succinct proofs in the cryptographic sense. I am excited to see where else my research leads me. I hope to go into academia, where I can study these problems further. I hope that being here and doing this work helps make the field feel a little more possible for others who might not have seen themselves in it before.

Published on December 10, 2025.
Photo credit: Asaf Etgar

May

2025

Laura Lewis

Born in China • Studied mathematics and computer science at California Institute of Technology (Caltech) in USA • Master’s in mathematics from University of Cambridge in UK • Lives in USA • Quantum information student, pursuing PhD at the University of California, Berkeley

Throughout my educational journey meandering through pure math, theoretical computer science, physics, and ultimately arriving in quantum information, I’ve seen that all these fields have deep foundations in mathematics, regardless of their outward label.

Early in life, I was drawn to math for its concreteness. To add two numbers together, there was a fixed set of rules, in contrast to other subjects we learn in elementary school, e.g., spelling which (especially in English) has many arbitrary rules and exceptions.

I was lucky to have a previous college math professor as my high school math teacher. He taught advanced math courses not typically covered in the high school curriculum, e.g., real and complex analysis.

With this initial interest, my experiences during high school solidified it and greatly influenced my academic path. I was lucky to have a previous college math professor as my high school math teacher. He taught advanced math courses not typically covered in the high school curriculum, e.g., real and complex analysis. With this, I was able to get a head start on math and got a glimpse of how it is explored in higher education: less through calculations and numbers, but with proofs.

Another pivotal experience was when I attended a program at the Massachusetts Institute of Technology (MIT) during the summer of my junior year in high school. There, I was challenged with advanced courses and projects but, perhaps most importantly, it was where I was first exposed to quantum mechanics. It immediately fascinated me due to its mystery, where even the first axioms are still debated. This is especially in contrast to other high school physics subjects, e.g., kinematics and electromagnetism, which are taught as having already been solved. This first experience with quantum mechanics planted a seed which would grow in college.

I double majored in pure mathematics and computer science, and as a part of the freshman seminars, one professor mentioned the intersection of these fields with quantum physics: quantum computing. I was fascinated.

When I started my undergraduate degree at the California Institute of Technology (Caltech), I kept in mind my previous exposure to quantum physics and kept my eyes peeled for any interesting opportunities. I double majored in pure mathematics and computer science, and as a part of the freshman seminars, one professor mentioned the intersection of these fields with quantum physics: quantum computing. I was fascinated. This subject would allow me to explore my interdisciplinary interests in math, physics, and computer science, and I thought it was a great fit. That summer, I reached out to the professor and started a project with him on how to efficiently check the correctness of a powerful quantum computation using only your laptop. With this experience, I saw how important a strong mathematical foundation is for this type of research, which focuses on rigorously proving the security of such verification protocols.

It was also at this point in my education where I started to notice the gender imbalance in math and quantum science, where I was the only female pure math major in my year in undergrad. This was not at all specific to Caltech but representative of the field as a whole.

During my undergrad, I also worked on designing machine learning algorithms to predict ground states. A ground state is the lowest energy state of a system, where one can think of a ball lying at the bottom of a bowl. A good understanding of ground states can provide us with insights into different properties of quantum systems, so this is an important problem in quantum physics. In this project, I was able to leverage my mathematical background in analysis to provide rigorous theoretical proofs on the performance of my algorithms. It was fascinating to see how math could help pave the way for novel scientific exploration in important physics problems. I received the Barry M. Goldwater Scholarship for my research (awarded to undergraduates in the USA for outstanding research), which increased my confidence to pursue the subject further.

It was also at this point in my education where I started to notice the gender imbalance in math and quantum science, where I was the only female pure math major in my year in undergrad. This was not at all specific to Caltech but representative of the field as a whole. I hope that by continuing to pursue a research career, I can inspire other young women to follow their passions and dive into mathematics with confidence.

After college, I pursued two master’s degrees in the UK through a Marshall Scholarship (awarded to recent college graduates from the USA to perform two years of graduate study in the UK). The first was at Cambridge in mathematics, a course which is well-known for offering an extensive array of advanced math classes. The second is a research degree at the University of Edinburgh in computer science, where I am free to explore a research topic of choice. These past two years have allowed me to hone my research interests and learn new mathematical tools to attain these goals. Soon I will start my Ph.D. at University of California, Berkeley, focusing on quantum information, and I’m excited to see where my pursuit of mathematics leads me next in advancing our scientific understanding of the universe.

Published on May 21, 2025.
Photo credit: Daniel Chen

Apr

2025

JoAnne Growney

Born in rural Pennsylvania in 1940 • Studied PhD in Mathematics at University of Oklahoma, United States • Lives in United States • Occupation Taught mathematics at Bloomsburg (PA) University (now part of Commonwealth University); now retired

Before I was a math girl, I was a farm girl – the oldest of three children growing up on a farm in Pennsylvania — the one who went to the barn with her father while her mother took care of the little ones.

Math (often numbers and counting) was an inconspicuous but central part of farming – counting eggs as I collected them from beneath the hens, counting the sheep as they came into shelter at night to make sure that none had drifted away. Geometric quantities also were important – the volumes of harvested grains and fruit, the distances between parallel rows of corn, the gallons of milk expected from our Guernsey cow which I milked morning and evening.

My teacher, a graduate of an elite college and unashamed of her math ability, was an energetic and supportive example of “girls can do math.”

Perhaps my farm experience helped me to be good at math – and that skill seemed fine in elementary school years but as my classmates and I moved through high school my female math ability seemed to make people turn away from me. In my senior year, I was one of only three girls in my math classes. BUT that year I also had an inspiring experience. My teacher, a graduate of an elite college and unashamed of her math ability, was an energetic and supportive example of “girls can do math.”

Receipt of a scholarship from Westminster College in New Wilmington, Pennsylvania, enabled me to go away from home to continue my education. (To my dismay, at Westminster I had several “only girl in the class” experiences.) I started out as a chemistry major but, during my sophomore year. I learned that my “science scholarship” could be used toward a math major and then (preferring math to chemistry) I switched, combining studies of math with secondary education. AND I took creative writing courses and had work published in the campus literary journal. In those days (early 1960’s), many jobs were not available to women – but teaching was.

Graduation from Westminster led to marriage, to secondary school teaching in the Philadelphia area, to evening graduate classes at Temple University – from which I obtained an MA in Mathematics. My husband (Wallace/Wally) – who had studied physics and math and a bit of computer science – took a job at Susquehanna University in Selinsgrove, PA. I did some part-time teaching at Susquehanna and at nearby Bucknell – but soon we moved to Norman, Oklahoma where Wally would pursue a doctorate so that he could qualify for tenure at Susquehanna. While we were in Oklahoma, with lots of time on my hands, I was able to attain a teaching assistantship and continue my studies also.

One of the requirements for mathematics professors at Bloomsburg University was to teach “general education” courses for non-majors and this experience led me to write and publish a textbook entitled Mathematics in Daily Life – a book containing material that engaged students in mathematical reasoning related to counting, voting, travel, decision-making, and other frequent concerns.

Graduate school brought complications to our marriage. In our earlier studies, I had gotten better grades but we credited it to his sports and fraternity activities – AND, I studied more carefully. But at The University of Oklahoma, it became evident that I was the better student and, eventually, that caused stress for both of us. I became his helper. We studied together. During our work on dissertations, I became pregnant. When our doctoral studies were completed, we returned to Pennsylvania, bringing with us a baby daughter. I secured a tenure-track position at nearby Bloomsburg State College (now part of Commonwealth University). AND I was able to keep my on-campus schedule to three days per week and to find excellent child care; our care-giver, Erma, was loving and dependable. Our family grew with another childbirth and two adoptions.

Keeping busy helped our marriage survive but over time we began to recognize that things weren’t working and weren’t repairable. This eventually led to divorce and to me and the kids moving to the town of Bloomsburg (and to me avoiding the 30-mile commute). My time in Bloomsburg involved congenial colleagues, a great neighborhood – a safe place for my children even if I was not with them and walk-to schools. When my children grew up – and left home for college and marriage and . . . I found time to revive my childhood interest (begun as a child reading Robert Louis Stevenson’s A Child’s Garden of Verses) to poetry.

One of my favorite poems celebrates the mathematician, Amalie Emmy Noether; it’s title is “My Dance is Mathematics”

One of the requirements for mathematics professors at Bloomsburg University was to teach “general education” courses for non-majors and this experience led me to write and publish a textbook entitled Mathematics in Daily Life – a book containing material that engaged students in mathematical reasoning related to counting, voting, travel, decision-making, and other frequent concerns. Work on this project and — even more so — my interest in poetry drew me into connections with other colleagues (in English and Philosophy and . . . and I gradually began to participate in poetry events and publication in addition to my math-related activities.

Writing poetry was an activity that I much enjoyed – and many of my poems incorporate mathematical ideas. One of my favorite poems celebrates the mathematician, Amalie Emmy Noether; it’s title is “My Dance is Mathematics” and it is available online at this link: https://joannegrowney.com/ChapbookMyDance.html ; here is its opening stanza:

They called you der Noether, as if mathematics

was only for men. In 1964, nearly thirty years

past your death, at last I saw you in a spotlight,

in a World’s Fair mural, “Men of Modern Mathematics.”

Once my kids were grown – and using some funds inherited from a great aunt – I began to engage in travel-related math-and-poetry activities. Via “Teachers for Tomorrow” – a non-profit organized by one of my high school friends – I spent part of several summers teaching (math and poetry and English conversation) – in India and in Romania.

A few years into retirement, I moved south to the Washington, DC area where three of my four children were living with their young families. And I am still here!

More can be learned about me at my website: https://joannegrowney.com. In 2010 I began to write a blog entitled “Intersections – Poetry with Mathematics” (found at https://poetrywithmathematics.blogspot.com/) – and, with more than 1600 posts so far, my blogging continues. My own thought processes seem to follow the rule that “everything connects” – and this article shares some related ideas: https://joannegrowney.com/Everything-Connects–JMA-Growney-26June2020.pdf

THANK YOU for reading! I hope you also enjoy math and poetry and their connections!

Published on April 9, 2025.
Image credit: Diann Growney Harrity

Feb

2025

Anna Ma

Born in the US • Studied Mathematics at the University of California, Los Angeles • Highest Degree PhD in Computational Science from the Claremont Graduate University • Lives in the US • Occupation Assistant Professor of Mathematics at the University of California, Irvine

When I was a kid, there were lots of things I wanted to be: a lawyer, a teacher, a singer, and even, at one point, a maid (I loved organizing and cleaning as a kid, too!) The thought of being a professor, let alone a professor of mathematics, never crossed my mind. I enjoyed mathematics as a kid but wasn’t the “math wiz” in school. I simply enjoyed it. In other classes, I had to memorize all these seemingly random facts, dates, and names of cell parts and their functions. In math classes, all I needed to do was understand the underlying concept, and I would be able to solve many problems!

My first memory of just the thought of being a mathematics professor came in high school. I joined a class geared towards first-generation college students and presented a project on my dream career as a high school math teacher.

Around middle school, I decided to pursue mathematics as a career. My parents immigrated to the US as refugees during the Vietnam War and worked as nail technicians and factory workers so the only people I knew who “did math” were the math teachers I interacted with at school. Thus, I set my sights on becoming a high school math teacher. My first memory of just the thought of being a mathematics professor came in high school. I joined a class geared towards first-generation college students and presented a project on my dream career as a high school math teacher. One of my classmates turned to me after my presentation and said, “I think you’re aiming too low; I think you should be a math professor.” I told her there was no way I could ever accomplish that, and I left it at that.

While trying to figure out what other careers existed for mathematicians, I stumbled upon Applied Mathematics and research: the wonderful world of creating new and exciting mathematics for real-world applications. [..] From there, I was hooked.

In college, I began taking math classes beyond calculus: logic, analysis, algebra, combinatorics, and numerical analysis. Logic and Numerical Analysis were two of my favorite courses, and it occurred to me that if I were a high school math teacher, I’d never have the opportunity to “do numerical analysis” again. (Was I being a little dramatic? Yes. But did I know what I wanted? Also, yes!) While trying to figure out what other careers existed for mathematicians, I stumbled upon Applied Mathematics and research: the wonderful world of creating new and exciting mathematics for real-world applications. My first research project was to help develop an algorithm for the Los Angeles Police Department to clean reporting data automatically. Next, I worked on a project analyzing Twitter (now called X) data to categorize Tweets automatically into content-based topics that did not rely on keyword searches. From there, I was hooked.

In college and grade school, it was difficult to see how intertwined mathematics was with the world around us. Through these projects, I began to see mathematics and the world through a new lens. The realization that mathematical concepts and theory could directly impact and improve real-world problems is inspiring, and this shift in perspective not only enhanced my appreciation for mathematics but also fueled my passion for pursuing further research and applications that bridge theory with practice.

In academia, you raise the next generation of mathematicians, discover and create new mathematics, and serve the scientific community and beyond.

Working in academia is an incredibly unique opportunity. In academia, you raise the next generation of mathematicians, discover and create new mathematics, and serve the scientific community and beyond. At the same time, academia can be really difficult because everyone has opinions about what you should and shouldn’t be doing and how you should and shouldn’t be spending your time. Early on, I decided I would do what made me happy. If that wasn’t enough for academia, then I wouldn’t be happy doing it anyway. There really is no other job like it in the world. Currently, I am working with multiple graduate students, recruiting new students for an undergraduate research project, writing proposals, and writing manuscripts to introduce new and improved algorithms and theorems to the mathematics community. One of the most surprising things I’ve discovered about this career is how much traveling I get to do. Every year, there is typically at least one international trip (Paris, France last year for the SIAM Applied Linear Algebra conference!) and a few domestic trips for conferences, visiting collaborators, and presenting research at other universities and research institutions. My day-to-day life in my career is never the same, which makes the work and life very exciting.

Published on February 26, 2025.

Oct

2024

Michelle Snider

Studied Physics & Mathematics at Smith College, Northampton MA, and Mathematics at the University of California San Diego, CA USA and at Cornell University, Ithaca, NY USA • Highest Degree: PhD in Mathematics • Lives in United States • Occupation: Senior Data Analyst at SRT Labs and Adjunct Research Staff Member at Center for Computing Sciences, Institute for Defense Analyses

I was always interested in math and science, maybe because I was just good at it. I chose to go to a women’s college because even at the high school level, I had been the only girl in the class, and experienced some unhealthy dynamics that can occur in a gender-imbalanced environment. Finishing my double major in Math and Physics in an enthusiastic and supportive environment, I decided I was happy to keep learning for the sake of learning, so I started applying to graduate school.

I went to the University of California, San Diego because they had big math and applied math departments, and since I didn’t have a specific area of focus yet, this would give me lots of options. Two years in, I realized I had not narrowed down the list of mathematical topics I was interested in so much as the list of professors I was not interested in working with. I set up meetings with potential advisors across the departments, who did work in numerical analysis, representation theory, combinatorics, and even math education research. Rather than giving me an impromptu lecture, one professor spent 5 minutes setting up a problem, then handed me the chalk and said “Go up to the board and work out an example.” I thought to myself, I guess I’m an algebraic combinatorialist now!

My specific expertise seemed to be less relevant than my willingness and ability to jump into new research areas and tackle hard problems.

Six years and a cross-country move later, I finished my PhD. I had determined that I didn’t want to pursue an academic track, but with such a pure math background, I wasn’t sure what other options I would even have. That is, in academia, it is quite common that you have no idea what else to do except be an academic because no pure math professor I have met has ever done anything other than be a pure math professor. While I had a wonderful opportunity learning how to think mathematically, I had no guidance about how to transition my research to real life. After sending my resume to companies and national labs across the spectrum of options, I landed an interview at the Center for Computing Sciences in Maryland, a federally-funded research and development center, where the organizational ethos seemed to be to hire a bunch of smart people and remove all the administrative distractions so they can just focus on solving hard problems for the US government. The people I met at my interview were excited about their work, but also had interesting hobbies and work-life balance. My specific expertise seemed to be less relevant than my willingness and ability to jump into new research areas and tackle hard problems.

The AWM is a community of mathematicians from around the world who care about building up a network to help us all succeed and I love being a part of it.

Along the way, I had an opportunity to join the Association for Women in Mathematics (AWM) on a day trip to the US Capitol in Washington, DC, to meet with the offices of elected officials and advocate for supporting underrepresented minorities in STEM. The AWM is a community of mathematicians from around the world who care about building up a network to help us all succeed and I love being a part of it. These visits give us a chance to let our voices be heard, and to bring awareness to the importance of STEM across society—many politicians have never met a mathematician before, and we had the chance to try to counter some of the stereotyped images in the media. I met an amazing group of mathematicians, and before I knew it, I was the one organizing these Capitol Hill visits, then serving on several committees.

A few years ago, an opportunity came up to work with a small technology company with a great company culture. My job title is Senior Data Analyst, but again I was hired not for specific expertise but for my flexibility in taking on new challenges. I get to work across a broad swath of the company, talking to clients, designing solutions, and yes, analyzing some data along the way. I love being able to apply mathematical thinking to problems perhaps not thought of as classical mathematical problems, like how to help universities save energy by connecting their air conditioning system to their class scheduling system.

I could not have predicted the path that I’ve been on, and certainly would never say that I had a plan all along. I am happy to do lots of different things, but it matters a lot to me who I spend my time with. Picking each step based on the people I enjoy spending time with seems to be working just fine so far.

Published on October 16, 2024.

Nov

2023

Kira Wetzel

Born in South Korea • Studied Data Management/Information Systems (Master of Science), Education (Master of Arts), and Behavioral Science (Bachelor of Arts) at three different universities in the United States. • Highest Degree Master of Science • Lives in San Jose, CA USA • Occupation Data and Analytics Management and Lecturer at UC Berkeley

Chapter 1: A Love for Math

I have always been fascinated by numbers. From the moment I learned how to count, I was hooked. Math quickly became my favorite subject in elementary school, and I eagerly awaited the Math Minutes exercise every day. There was something thrilling about solving equations, finding patterns, and unlocking the secrets hidden within the numbers, and quickly.

As I progressed through school, my passion for math only grew. I found solace in the logic and structure it provided. While other kids dreaded math class, I relished the opportunity to dive into complex problems and unravel their mysteries. My brain seemed to have a natural affinity for the subject, and I loved the feeling of accomplishment when I arrived at the right answer.

When it came time to choose a major in college, however, I made a somewhat unexpected decision. Instead of studying pure mathematics, I opted for math education. I wanted to make math more accessible and easier to understand for others. I believed that by becoming a math teacher, I could help students overcome their fears and discover the beauty of numbers, just as I had.

Chapter 2: Thinking in Algebra

Teaching high school math was both challenging and rewarding. I loved seeing the light bulbs go off in my students’ minds when they finally grasped a difficult concept. However, as an introvert, the constant demand for live interaction every day was beginning to take its toll. I realized that if I continued down that path, I would eventually burn out.

After a few years of teaching, I decided to make a transition into data management. It allowed me to utilize my analytical skills in a different way while still working with numbers. What surprised me was how well my brain adapted to this new role. I found that my problem-solving abilities translated seamlessly into the world of data.

As I analyzed and processed information, it felt like I was working through an algebra problem. I approached each task as a system of inputs and outputs, seeking patterns and connections. This way of thinking became an incredible framework for tackling unknowns and finding innovative solutions. My love for math had given me a unique perspective that served me well in my new field.

Chapter 3: A New Direction

To further solidify my expertise in data management, I decided to pursue a master’s degree in information management and analytics. The additional knowledge and skills I gained opened up new opportunities for me. I had no regrets about my career path. In fact, my background in math education turned out to be an asset in influencing and teaching at work.

The scariest thing about transitioning was actually the change in working environments. Office environments are incredibly different than classrooms and the dynamics between people are different. There is no option to go to your classroom and hide. The agendas and goals are different. In the office, highly cross functional teams of people are responsible for the success of the project.

Currently, I lead a team of analytics engineers, analysts, and industry strategists. Our main focus is developing data foundations and curating information that aligns with our company’s business strategies. Alongside this responsibility, I am also dedicated to developing leaders within my team. I firmly believe that investing in others and fostering their growth is crucial for long-term success. I’ve learned that this isn’t always the case for others, but it will be for me.

Chapter 4: Battling Gender Bias

Throughout my career, I have encountered the harsh reality of gender bias. It is pervasive, and the intersections of gender further compound the disadvantages faced by marginalized individuals. Closing the gap requires us to be intentional in our efforts. We must take our seat at the table while saving a seat for others. It means having the difficult conversations and addressing the unspoken career setbacks that are often less concrete but nonetheless hinder progress.

I have experienced oppression and setbacks, even from other women, in the workplace. It has been disheartening, but I have used these experiences as lessons to shape my behavior and align myself with my North Star. If we cannot support one another, how can we possibly advance as a collective? I have made a conscious choice to accept slower advancement if it means providing greater opportunities to others. My decisions are guided by what is best for our community, not just for myself.

Chapter 5: Surrounding Myself with Allies

Looking back, I realize that the one thing that would have greatly helped me on my career path is self-confidence and strong women allies. It took time and experience to develop the belief in my abilities, some of that came from not having sponsors or mentors that were truly invested in me. Additionally, surrounding myself with strong women allies has made a tremendous difference in my agency and resiliency. The support and camaraderie we share have empowered me to navigate the challenges of the workplace with greater strength. I don’t feel alone and I can call upon a strong network to help me.

As I continue my journey, I am committed to making room for others at the table. I strive to foster an inclusive environment that encourages growth and amplifies diverse voices. By doing so, I hope to contribute to a pipeline of growth that uplifts individuals and propels our collective success.

Epilogue

My love for math has shaped my life in ways I never could have imagined. It has taught me to think critically, approach problems systematically, and find joy in unraveling the mysteries of the world. Through my career as a math teacher, data manager, and leader, I have found fulfillment in both sharing my knowledge and empowering others.

As I move forward, I will continue to champion gender equality and work towards dismantling the barriers that hold us back. I will strive to be the mentor and ally I wish I had when I was starting out. By embracing our unique strengths and fostering a supportive community, I believe we can create a more inclusive and equitable world for all.

Published on November 8, 2023.

Sep

2023

Robyn Shuttleworth

Born in Melrose, Scotland • Birth year 1993 • Studied Mathematics at University of Dundee, Scotland • Highest Degree Ph.D. in Applied Mathematics • Lives in Redwood City, California • Occupation Scientist II, Altos Labs

I wasn’t very sure what I wanted to study at university when I was in high school, I just knew for sure that I wasn’t finished with education. I really loved mathematics and biology, so it turned into a battle of the sciences. I went to one university visit (the one I happened to attend!) and toured both departments. The head of the math department started his presentation with “…mathematics graduates earn on average 10% more than any other graduate”. This one statement sealed it for me, and I decided to pursue a degree in Applied Mathematics. My reasons for pursuing mathematics came from quite a shallow and impulsive place, but I’ve grown to learn that that’s okay and you can’t always choose what motivates you. Assuming studying mathematics meant I would be working with numbers for the rest of my life, I imagined myself being an accountant or an actuary and I decided to take courses in business and accountancy in my first few years at university. Whilst this was okay, it didn’t enthrall me the way I had hoped. Fortunately, towards the final year of my bachelor’s degree, I joined a team of scientists in developing genetically engineered detection strategies for cystic fibrosis patients (very different from the classes in accountancy I had previously envisioned being my future). I was excited by the ways I could contribute as a mathematician, and it brought me back to my love of biology. Soon after, in my final year of undergrad, I chose my honors project in glioblastoma modeling. I learned so much about tumor growth and treatment strategies, and I knew this was only the beginning of my journey in mathematical biology. So, when the opportunity arose to pursue a Ph.D. in cancer research, I pushed hard for funding, and one month after graduating, I started reading papers for my Ph.D. in multiscale modeling of cancer progression. I developed mathematical models to describe how tumor cells interact with their microenvironment and explored the mechanisms used to invade the surrounding tissue. Throughout my Ph.D. I attended lots of conferences which gave me plenty of opportunity to present my work and I made lots of great connections. Networking with other scientists was one of the best parts of my graduate studies and I still maintain many of these relationships today.

I was excited by the ways I could contribute as a mathematician, and it brought me back to my love of biology.

I found my Ph.D., for the most part, very enjoyable. I loved the challenges that came with researching a new area and the undeniable feeling of success when you got some exciting new results, or you finally managed to debug your code! Alongside this elation, I did find some of my time difficult, but I must admit that those grievances have been mostly forgotten and feel like a distant memory. It was so important to me to have a strong support system, and I cherished my evenings and weekends with family and friends. Taking time for myself and detaching from the research helped keep me sane and motivated throughout my studies.

After three and a half years in my Ph.D., I was ready to move onto the next stage of my career. I set my sights on finding a Postdoc position, with only two stipulations; it had to be in the field of mathematical biology, and it had to be outside of the UK (another example of my unconventional motivation). With this in mind, I found a position at the University of Saskatchewan in the field of Cryobiology. I loved learning new math modeling techniques to apply to cryopreservation processes and I found that I was able to use a lot of my previous knowledge in this field. Although this switch in fields presented me with the challenge of effectively starting over and requiring a ton of reading (and auditing undergrad biology classes!), it was extremely fulfilling to use math models to predict the optimal experimental conditions for successful cryopreservation.

Fast forward three years, and I found myself in a familiar position: loving what I currently do, but ready to explore a new field and further develop my knowledge and skills. I had always envisioned myself in academia, however, through a chance encounter on social media, I came into a position within industry in the field of cellular rejuvenation. I now build mathematical models of cellular reprogramming and rejuvenation processes to help us understand what makes us, and our cells, “healthy”.

I had always envisioned myself in academia, however, through a chance encounter on social media, I came into a position within industry in the field of cellular rejuvenation.

I’ve consistently changed fields throughout my career, and I have learned something different from each of them that I carry with me to the next. The opportunities I have had are some of the most worthwhile and rewarding roles and ones I have immensely enjoyed. Whether I am investigating how tumors grow, finding the optimal way to freeze and store an organ, or helping us age gracefully, I would not wish to be anywhere else but at this forefront of scientific discovery and advancement.

Published on September 13, 2023.

Mar

2023

Anna Konstorum

Studied Biology/Bioinformatics at McGill University, Canada, and University of California, Los Angeles, USA, and Mathematics at University of California, Irvine, USA • Highest Degree PhD in Mathematics • Lives in United States • Occupation Research Staff Member at Center for Computing Sciences, Institute for Defense Analyses

I came to applied mathematics slowly, and circuitously – but sometimes that makes for the best stories. When I was young, I fell in love with the complexity of biological processes, and thus I chose to study biology for my BSc. My grandmother was a math teacher and I have fond memories of us playing all sorts of educational math games growing up, which instilled in me a joyful, non-competitive view of math. But I never saw myself as a mathematician, it was just something I enjoyed ‘on the side’.

I sat there in complete astonishment of the beauty and power of math to describe a world that I had realized I had always wanted to see in a mathematical light.

It was only when doing my Master’s, when I took a course focused on using dynamical systems to study the life sciences, that I came to see that mathematics needed to be more than a hobby for me. I sat there in complete astonishment of the beauty and power of math to describe a world that I had realized I had always wanted to see in a mathematical light. And, I felt then, everything clicked. That my love for math and complex systems such as biology were not separate, but actually completely intertwined. It was this realization that led me to do my PhD in mathematics. I performed research modeling interactions of growing tumors with their microenvironment and took classes in a wide range of mathematical subdisciplines. It was very difficult as I knew I had less experience with mathematics than many of my peers, but I also had complementary skills in working on real-world scientific problems, which gave me a unique vantage point to think about the methods I was studying. When I kept my focus on the subject matter, I knew I was where I needed to be. It was one of the hardest, but most rewarding experiences in my life.

I work at the interface of data science and applied mathematics to help address challenging problem sets in national security, and more generally in the computational and data science realms.

Something you come to understand by taking a strong pivot, is that both you and the world have the capacity to honor a new stage in your life and career, especially if you approach the challenge thoughtfully and creatively. I had come to understand that for me, the next stage that I wanted to reach was to expand my applied mathematics capabilities to new domains in addition to the life sciences. And, really, I was ready! Studying the life sciences from a mathematical perspective prepares you to handle a variety of complex data problems. The field is full of extremely noisy data – but data that has, if you chip at it long enough, fascinating patterns and meaning underneath the noise. I now get to do just that as a Research Staff Member at the Center for Computing Sciences, Institute for Defense Analyses (CCS/IDA). I work at the interface of data science and applied mathematics to help address challenging problem sets in national security, and more generally in the computational and data science realms. I’ve used approaches ranging from applied dynamical systems (PDEs and ODEs) to, more recently, unsupervised learning methods employing matrix- and tensor-decomposition frameworks. I also hold an adjunct faculty role in the Laboratory for Systems Medicine at the University of Florida, which allows me to continue to collaborate on projects in mathematical and systems biology.

I wish I had known to take advantage of all [professional societies] have to offer earlier in my career.

What I’ve come to realize is that your unique interests and capabilities, even when they may not fit easily into a clear label, do have a place in this world where they will be valued. My background in mathematical biology has given me a unique perspective on the challenges I face in my current role, both from a mathematical and applied sense. And it makes for some fun intersectional research.

Finally, I’d like to make a quick shout-out to the power of professional societies. I wish I had known to take advantage of all they have to offer earlier in my career. Societies like the American Mathematical Society (AMS), Society for Industrial and Applied Mathematics (SIAM), Association for Women in Mathematics (AWM), and Society for Mathematical Biology (SMB) all provide opportunities to network via conferences and meetings, and to learn more about opportunities in and outside of academia utilizing the skills you learn. You don’t need a minimum degree to join – just an interest to connect with like-minded researchers.

Published on March 1, 2023.

Feb

2023

Sherli Koshy-Chenthittayil (she/her)

Born in Abu Dhabi, United Arab Emirates • Birth Year 1983 • Studied Mathematics at Mahatma Gandhi University in India • Highest degree PhD in Mathematics from Clemson University, USA • Lives in Nevada, USA • Occupation Data Analyst

I am an applied mathematician and educator with interests in mathematical biology and STEM education. I am also invested in increasing diversity in STEM, particularly, with respect to students with disabilities. As a third culture Malayalee Indian who was born and raised in the Middle East and moved to the States for my PhD, I have had the best of three worlds – India, the Middle East, and the States. In addition to my love for all things related to math, I love books (all kinds), movies, Shahrukh Khan (Hindi actor), K-dramas, and BTS (K-pop group). My mathematics journey started in school, where I fell in love with the logic and grace of the subject. My other passion was teaching the subject I loved most. It came as no surprise to everyone who knew me that I would pursue a mathematics teaching career.

I moved to India for my bachelor’s degree in mathematics, a master’s degree in mathematics, and even a bachelor’s degree in mathematics education. The theme is clear: I love mathematics. During my degrees, the beauty of proofs, and the varied applications of math spoke to me. I then started my own tutoring center in India and as a tutor in both higher education and K-12, I designed group projects as well as mathematics trivia games to increase inquiry and class participation.

Dealing with accessibility and gender representation in my math classes turned me into an advocate for women and people with disabilities in the STEM fields.

I was born with limb-girdle muscular dystrophy and transitioned to a wheelchair in 2011. I then decided to move to the States for my PhD in applied mathematics. Dealing with accessibility and gender representation in my math classes turned me into an advocate for women and people with disabilities in the STEM fields. Working with like-minded colleagues has helped me realize the power of math in fighting social issues and in self-advocacy.

Leadership positions helped me navigate academia with confidence.

My journey after my PhD took me to Connecticut where I was a postdoctoral scholar. I used mathematical models to investigate biology and education related questions. I also was the President of the postdoctoral council. Leadership positions helped me navigate academia with confidence. Further nuances of the world of math were revealed to me during my postdoctoral tenure. I realized how mathematical models could be developed with constant input from my wet-lab colleagues.

I am looking forward to the discoveries of the versatility of mathematics.

I currently work as a Data Analyst with the Office of Institutional Effectiveness, Touro University Nevada. My job responsibilities include advising faculty, student and affiliate investigators on research design and analytical approaches to optimize research study quality and providing descriptive and inferential data analysis for a diversity of biomedical, institutional, and educational projects. I am looking forward to the discoveries of the versatility of mathematics.

Published on February 1, 2023.

Nov

2022

Sophie Huiberts

Born in The Netherlands • Studied Mathematics at the University of Utrecht • Highest Degree PhD in Mathematics • Lives in the USA • Occupation Postdoctoral Researcher

I definitely did not always want to be a mathematician when I was young. I had a great mathematics teacher in high school, who was very enthusiastic about it. Still, I thought that mathematics was a bit boring, as it did not touch upon any of the subjects that interested me as a teenager. However, I did like programming at that time, which I did as a hobby. At some point I found out that the algorithms I programmed also had inventors. For me, that was a real revelation, and being an ‘inventor of algorithms’ seemed like the best job in the world to me! These people were described as mathematicians and computer scientists, so this made it easy for me to choose my majors at university after high school: mathematics and computer science as a double bachelor program in Utrecht.

At some point I found out that the algorithms I programmed also had inventors. For me, that was a real revelation, and being an ‘inventor of algorithms’ seemed like the best job in the world to me!

In my master program I already chose for mathematics over computer science. I found the theoretical aspects of algorithms more interesting than implementing them in practice, on which the computer science degree put a heavy focus. I really liked my master graduation project, so when my thesis supervisor posted a vacancy for his first PhD student, I applied for this position, and that is how I got into research professionally.

These types of algorithms solve optimization problems that can for example create train schedules, allocate personnel to different tasks or design large sports competitions.

Funnily enough, my research now is still about algorithms, so that interest stuck with me. I now focus on a very particular type of algorithms: the ones used in linear programming and integer linear programming. These types of algorithms solve optimization problems that can for example create train schedules, allocate personnel to different tasks or design large sports competitions. In theory, these algorithms can take a very long time to run. Nevertheless, in practice these algorithms are extremely fast. I investigate how this difference between theory and practice arises, and try to come up with theoretical models that better explain why these algorithms work so well in practice.

I am most proud of my recently published results on the so-called `diameter of random polytopes’. This was an open problem in my area for quite some time, and I solved it as part of a research team. But I am most proud of the fact that this was the first project where I was really in the lead as a scientist. During the beginning of your PhD, you usually rely on your supervisor for guidance, and they often give you problems to work on, broken up into manageable chunks. This was the first time that I really took the lead in a project, and I ended up being the one to give specific tasks to my coauthors to complete. This experience gave me a lot of confidence and made me certain that I would like to remain in academia.

Most postdocs I knew were often stressed by their uncertain and temporary positions. This was not something I wanted for myself.

Even after this positive experience, I was a bit doubtful about the postdoc phase. Most postdocs I knew were often stressed by their uncertain and temporary positions. This was not something I wanted for myself. I therefore decided to only apply to two positions that seemed great to me. If they both would not work out, I would leave academia. One of the positions was here as a Simons fellow at the University of Columbia. Someone I knew asked if they could nominate me for it, and of course I said yes. In the end, I even got offered both positions I applied for, so that made me more certain that I am welcome in the research environment. As a fellow, I have a three year position with a grant and not many obligations. This makes the postdoc experience much more pleasant.

To me, the best part about being a researcher in mathematics is the fact that I am sometimes the first person who finds the solution to a particular problem, the first person ever to know a particular fact. This is a very special experience, and I can be happy about it for weeks. I also really like the fact that I can sit in my office, and just think about a problem for a while without time pressure.

Published on November 30, 2022.

Nov

2022

Lakshmi Chandrasekaran

Born in India • Studied Applied Mathematics at New Jersey Institute of Technology in New Jersey, USA • Highest Degree PhD in Applied Mathematics • Lives in Chicago, USA • Occupation Science communicator and Digital marketer

Growing up in India in the 90s and early 2000s, becoming a software engineer was a rage! The country’s obsession with software engineering was second only to a lucrative career in medicine. Although I went through a similar grind and familial expectations, by the time I finished high school, my mind was fraught with a constant debate between pursuing the software engineering versus physical sciences route such as math or physics – two of my favorite subjects in school. However, not being proficient at writing software codes it was easy to narrow down my choice. Experiencing calculus, vectors and 3D geometry in high school had piqued my interest enough to pursue my Bachelor’s in pure mathematics.

While my passion and curiosity for math never waned all through college, I started to wonder about the practical applicability of math in daily life. To this end, I started researching for universities with an applied mathematics graduate program. My foray into research started as a PhD student at New Jersey Institute of Technology (NJIT) where scientists applied math models to explore diverse phenomena ranging from detecting underwater submarines to the complex workings of the human body. These studies exposed me to the repertoire of math and also led me to think why I was oblivious to it until then. Perhaps it was the lack of communication, which stifled a wider appreciation.

I learnt how to translate, synthesize and communicate complex math equations in a manner that the biologists could easily relate to.

After completing my PhD, I did a couple of postdoctoral fellowships, during which I had frequent interactions with our biologist collaborators. I learnt how to translate, synthesize and communicate complex math equations in a manner that the biologists could easily relate to. In a way, I felt this was my first taste of “science communication” that left me wanting for more; since it bothered me persistently that I was still communicating science among scientists.

At this juncture, I got an opportunity to freelance as a science writer for an online English language newspaper based in Germany – ‘The Munich Eye’, (TME). I took this up as a challenge to disseminate science to a wider audience. A few years into this experience made me realize that I was happier communicating science than doing the science myself. I decided to switch gears and pursue a career in science communication. To shore up my science communication skill sets, I pursued a Master’s degree in science journalism at Northwestern University. I have never looked back since then and consider it to be one of my best career decisions.

Something that I encountered quite frequently as a science communicator was that scientists often struggled (or perhaps were reluctant) to be good marketers of their own work.

As a science writer, I freelanced for several popular science online and print outlets, communicating in lay a wide gamut of technical topics from climate change to science policy. I found that my technical expertise and research experience always came in handy when sifting through scientific work and translating them into easy-to-digest summaries. Until recently, I worked at a non-profit organization, communicating dementia science to a diverse set of stakeholders including the general public and donors.

Something that I encountered quite frequently as a science communicator was that scientists often struggled (or perhaps were reluctant) to be good marketers of their own work. Understandably, part of this fear stems from the philosophy of not wanting to brag about one’s own research findings. However, I found this to be an interesting challenge – how do you then make an obscure field such as STEM also appealing to a lay audience? To this end, I recently completed an online certificate course in digital marketing from Northwestern Kellogg School of Management. I now look forward to applying my digital marketing and communications skill sets to promoting better awareness of science and enhancing public engagement between researchers and the general public.

Although you may think as a PhD you are solely trained to specialize in a niche area, doctoral training provides several useful skill sets (…).

Does all of this mean my PhD degree is not being put to any use? Absolutely not! Although you may think as a PhD you are solely trained to specialize in a niche area, doctoral training provides several useful skill sets such as writing, researching, mentoring, managing projects etc. coupled with professional life hacks such as resilience and tenacity, among others. I find myself regularly applying these handy skill sets in any work setting. I believe my academic background has better prepared me to have a fulfilling career in science communication and marketing in several indirect ways, for which I am forever grateful.

Published on November 2, 2022.

Feb

2022

Sanchita Chakraborty

Born in Bolpur, West Bengal, India • Birth year 1999 • Studies Mathematics at Purdue University in West Lafayette, Indiana, USA • Highest Degree ongoing Bachelors of Science • Lives in West Lafayette, Indiana, USA • Occupation Student Researcher and Undergraduate Student

I always loved how neat math was. No matter the problem, the answers seem to come with a simple number. After taking partial differential equations and numerical analysis courses, it seems so silly now, the subject is anything but “neat”. It is complex, chaotic, and elegant, but what I have come to appreciate is its beauty, its ability to explain the world around us.

When I imagined a mathematician, I thought of an old man sitting in a flickering candle-lit room with melted wax and papers strewn around on an old wooden table. What did that really mean in the era of supercomputers, high-speed trains, planes and rockets?

As a child, I never really thought of being a mathematician as a job to pursue. I mean, to be fair the greats that I knew of only existed in Ancient Greece or Rome. When I imagined a mathematician, I thought of an old man sitting in a flickering candle-lit room with melted wax and papers strewn around on an old wooden table. What did that really mean in the era of supercomputers, high-speed trains, planes and rockets?

[..], I took the route of role models like Howard Wolowitz from the Big Bang Theory and Dr. Amelia Brand from Interstellar, and chose a degree in Aerospace Engineering.

So, when I had to choose a degree to study, I took the route of role models like Howard Wolowitz from the Big Bang Theory and Dr. Amelia Brand from Interstellar, and chose a degree in Aerospace Engineering. When I entered, I was excited by the engaging new problems I would learn to solve – whether it was in understanding rocket propulsion or in the use of orbital mechanics within navigation. However, instead I became bogged down with solving mundane structures and material problems. Moving into my sophomore year, classes did become more interesting with my first fluids and orbital courses. Every time I stepped into an engineering classroom, I felt a sense of excitement in understanding the fundamental equations, rather than the applications to real-world problems.

While I had once run away from engineering, I found myself right back to where I began, but instead I was in the role of a mathematician.

I reflected on my prior math courses, thinking about how I would apply these geometric properties and analysis techniques to problems that I had been introduced to in my aerospace courses. I knew it was time for a change, so I switched gears to classes like complex analysis, partial differential equations, and introduction to proofs. I was hooked. Around the same time, I had my first laboratory experience in mathematics. I spent the summer working on neural networks to reduce the loss from the 2D approximations to the advection-diffusion equation in transport phenomena. It was one of the hardest learning experiences, coming in with very little knowledge of Deep Learning, but the hours spent on literature reviews seemed less like work and more like unravelling my favorite mystery novel. This was the moment in which the puzzle pieces of all my interests across engineering and mathematical disciplines clicked. So when I finished my summer project, I immediately looked for new opportunities in applied mathematics, and I was fortunate enough to find a supervisor in the Electrical and Computer Engineering department to work on Finite Element Methods and the Schrödinger equation. While I had once run away from engineering, I found myself right back to where I began, but instead I was in the role of a mathematician. My supervisor has helped me find confidence in my abilities and given me the opportunity to take lead on my first project, and is the reason I have found the confidence to apply to applied math MS/PhD programs for fall 2022.

I had women like Katherine Johnson to look up to, but she was merely a role model, not an individual I could tangibly connect to.

While I have been undoubtedly lucky to be surrounded by amazing mentors, the lack of women mathematicians and engineers did not go unnoticed. I found my experiences to be hardly unique. When talking to a good friend in the math department, I found that she too had been the only woman in her math classes. In four years, I had only had one woman math professor and one woman graduate student that supervised my research. In my graduate and advanced courses, I was one of two or maybe three women students. The world had long moved away from the old man in the candle-lit room, but the representation of women in the industry was grossly underdeveloped. Looking at research faculty in the graduate programs I applied to, I found the representation to be quite similar. I had women like Katherine Johnson to look up to, but she was merely a role model, not an individual I could tangibly connect to. She seemed just as far remote as the Greek greats.

Inequality seems to be quite an abstract notion and equality just an idealized concept, existing only in philosophical treatises. To encourage more women to pursue a career in academia and research, we must begin by creating real mentor-mentee relationships that go far beyond the professional. Only through this tangible bond can we expect to see true equality in every field, including this complex and elegant language we hold so close and I sincerely hope that one day the word mathematician comes with an image of a woman and a man working side by side in a world intertwined with modern technology.

Published on February 16, 2022.

USA

Surya Mathialagan

Laura Lewis

JoAnne Growney

Anna Ma

Michelle Snider

Kira Wetzel

Robyn Shuttleworth

Anna Konstorum

Sherli Koshy-Chenthittayil (she/her)

Sophie Huiberts

Lakshmi Chandrasekaran

Sanchita Chakraborty

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