About me

Sophomore at WashU studying CS + Math and Statistics. I enjoy problems that model real-life scenarios, problems where there is often no neat answer, but where structure hides underneath apparent randomness that can come in many forms: Nash equilibria and optimization landscapes, the patterns a model pulls out of high-dimensional noise, or the fair price underlying the movements of a market.

My philosophy in learning is that you should always seek to understand the deep underlying logic behind why something works, not just accept the outcome as a fact to memorize. Whether that's through building a battery from scratch, understanding how computers do arithmetic, or exploring how GTO poker solvers generate their solutions, many of my projects have a shared goal: understanding complex systems by breaking them down into their most basic pieces. I truly believe that nothing is arbitrary if you look closely enough.

When I'm not building, I enjoy lifting weights, running, playing poker and chess, and seeing new places.