I am an engineer and researcher who loves to think about the world quantitatively and help empower others to do so too. I am passionate about topics spanning biocomputational machine learning/pharmaceutical automation, knowledge democratization through data, high-frequency trading, and improving STEM education. I like to work on open-ended problems collaboratively in an end-to-end manner.
I am a quantitative trader at Tower Research Capital. I recently graduated from Stanford University with a B.S. in Computer Science and an M.S. in Statistics. On campus, I was involved with applied AI/ML research for structural biology and healthcare, focusing on equivariant neural networks for protein structure, and sang with the Stanford Mendicants, the school's original acapella group. I was also a teaching assistant for Stanford's introductory CS classes and led a data science education fellowship within the Stanford Open Data Project. Professionally, I have previously spent time working at Glean, Citadel Securities, and Facebook (now Meta).
In my free time, I enjoy learning new musical instruments, cooking, and reading about emerging technologies. Please feel free to get in touch!