I am a PhD student in Business Economics at Harvard Business School. Previously, I worked with machine learning and econometrics at QuantCo in San Francisco.
I graduated from Harvard in 2020 where I studied applied math, focusing in computer science and economics.
My thesis used a 1.6b observation dataset of individual voting records to study how changes in electoral composition influence the midterm loss cycle (with Profs. Andrei Shleifer and Vincent Pons).
In school, I wrote papers/final projects on methods for deep learning generalization in the context of adherence to Tuberculosis treatment and using classifiers to incentivize strategic effort allocation under loss aversion.
Previously, I made an iOS drawing app that reached top 31 on the App Store (iSketch), designed and built the iOS app for TOMS Shoes, and made a fun puzzle game.