Mathematics, Uncertainty, and Application

I work on problems in AI, theoretical computer science, and economics. I enjoy applying concepts in pure mathematics (e.g. topology, differential geometry, real analysis) to solve practical problems – specifically those that involve operating under uncertain circumstances.

Currently, I’m an undergraduate student at UC Berkeley’s Management, Engineering, and Technology program pursuing a dual degree (BS) in Electrical Engineering + Computer Science and Business Administration. Previously, I was a student at the Science, Mathematics, and Computer Science Magnet Program at Montgomery Blair High School. Since 2015, I’ve worked with Profs. Aravind Srinivasan and John Dickerson on problems in market design and reinforcement learning. In 2018, I was invited to attend the Research Science Institute where I worked with Prof. Scott Duke Kominers in the field of matching theory. From 2016 to 2018, I worked with Prof. William Gasarch on the muffin problem, a fair-division resource allocation problem.

My work has been recognized at the Intel International Science and Engineering Fair and the National Junior Science and Humanities Symposium. I was selected as a Regeneron STS Scholar, and most recently, I was awarded the $10,000 ACM/CSTA Cutler-Bell Prize for High School Computing. My work has been published in the proceedings of the FUN 2018 algorithms conference, and was an invited presentation at the 2018 Joint Mathematics Meeting of the AMS and MAA.

Aside from my research, you can find other things that I’ve written on this website, including a mini-textbook on differential geometry and class notes. My other interests include piano performance and theory, computer hardware, hiking, and UAVs.