I am a Quantitative Analyst on the Fixed Income ETF Team at Invesco. I recently graduated the University of Illinois in Chicago with a Master's in Applied Math. Before that, I attended the University of California, Berkeley, where I studied Applied Math and Physics.

I enjoy working on software to solve problems in PDEs, Mixed Integer Programming, and Data Science.

I work on a few opensource projects in my spare time. The use cases are (fairly) niche, but if you work with string data validation in Polars or want a trimmed-down, gruvbox version of the primeagen's nvim/tmux setup, you might be interested in the following:

• my dotfiles : neovim/tmux config, with nice zsh defaults. Configured primarly for python (ruff to lint, pyright for code jumping) and rust development (rust-analyzer).
• polars_istr : string validations in Polars, implemented in rust. If you have some expensive ufunc you apply a lot (e.g. Luhn double-add-double checksum computation), please don't hesitate to open an issue, and I will work on including it.

Here are some lecture notes I took as an undergraduate at Cal. These are provided as-is with zero-editing (except PDEs II), and are probably not a great primary source if you're in any of these classes. These are mostly here for my own reference, and because they include some nice TiKz pictures.

• Partial Differential Equations II (Sung-Jin Oh, Spring 2022)
• Metric Differential Geometry (Rui Wang, Spring 2020)
• Complex Analysis (Peter Koroteev, Spring 2020)
• Real Analysis (Rui Wang, Fall 2019)
• Quantum Mechanics II (Ehud Altman, Fall 2019)
• Analytic Mechanics (Stuart Bale, Fall 2019)