I'm a PhD student in EECS at MIT, advised by Erik Demaine in CSAIL and Zach Lieberman at the Media Lab.
I develop mathematical abstractions and computational tools that facilitate new ways of designing and fabricating. I'm drawn to dialogues between computation and craft, and to creating systems that invite agency, expression, and play.
My time at MIT is a collage of research, art, and teaching.
My work has been generously supported by the MIT MAD Design Fellowship, the NSERC Postgraduate Scholarship, and the MIT Stata Family Presidential Fellowship.
My research explores new ways of thinking and making by considering alternative representations of visual and material systems. I often synthesize ideas across domains; as a result, my work spans human–computer interaction, computer graphics, theoretical computer science, and art. A full list of my publications is available on Google Scholar. While I publish in academic venues, I am equally drawn to alternative research outcomes, and have found delightful homes for my ideas in artworks, creative tools, and educational resources.
How can we design garments for change and reuse? By reimagining garments as dynamic assemblies rather than static products, Refashion enables users to resize, restyle, and remix their garments on demand.
How can we create constellations with unconventional star arrangements? By representing constellations patterns as mathematical graphs, we gain access to new vocabularies that let us revisit classical patterns and uncover new expressive forms.
My art practice explore how simple shapes, through combination and variation, can evolve into intricate patterns, textures, and forms. Mathematics and computation serve as key languages in my processes; their vocabularies—like those of any natural language—open new ways of thinking and making. While my artifacts emerge from mathematical and computational representations, they are grounded in physical making, often in collaboration with machines such as laser cutters, and finished by hand—draped and sewn, or meticulously assembled.
I have taught extensively at MIT and UBC, with a focus on algorithm design and analysis, primarily at the advanced undergraduate level. Outside of academia, I design and teach computational art classes for middle and high school students. Through drawing with code, I hope these classes help reshape perceptions of who programmers are and what programs can do.
I have begun to write—poems and prose, little life lab notes.
