About

I’m currently a PhD student in Electrical Engineering and Computer Science (EECS) at MIT. I’m a proud member of the Atomic Architects Research Group, advised by Professor Tess Smidt. I also work closely with the Griffin Group in the Molecular Foundry at Lawrence Berkeley National Laboratory. I received a master’s degree in Computational and Mathematical Engineering (‘22) and a bachelor’s degree in physics with honors (‘21), both from Stanford University. I’m funded by the Department of Energy Computational Science Graduate Fellowship.

I’m interested in building algorithms that preserve physical symmetries and aid in our understanding and design of physical systems. I worked with the ATLAS collaboration at CERN during undergrad and my master’s degree with Professor Lauren Tompkins. In my PhD, I pivoted to computational materials science and machine learning (ML) development. I’m passionate about applying computational tools to materials design and problems in condensed matter physics. I enjoy working on projects where I am able to collaborate across disciplines, learn about a new scientific field, and interface with experimentalists. Lately, I have been working on modeling phase transitions in exotic magnetic materials, characterizing length scales of order in amorphous materials, and developing representation learning methods for applications in powder X-ray diffraction. See my Google Scholar and my CV for more information.¹

Outside of research, I love to hike, backpack, and spend time outdoors. I also am an avid swimmer and a member of the MIT Women’s Chorale.