Background

Education

1. 2014 – 2017

   M.S. Computational Mathematics · Stanford ICMEGraduate

   Studied systems programming, discrete math, and stochastic processes at the Institute for Computational and Mathematical Engineering. Passed qualifying exams in stochastic processes and in discrete math & algorithms (GPA 3.96).

   Spent the second half of the program as a Teaching Fellow: wrote an autograder for ICME’s core programming sequence and helped teach discrete math and distributed algorithms.

   Thesis with Guido Imbens (Nobel 2021): a quasi-experiment using bookmaker spreads as a conditioner to identify the causal effect of nightlife visitation on next-day NBA and MLB performance (arXiv). Hangover effects were both statistically significant and profitable under historical simulation of the betting marketplace.

2. 2008 – 2012

   B.A. Economics · U.C. BerkeleyUndergrad

   Honors thesis with Gregory Duncan and Charlie Gibbons: a quasi-experimental estimate of the causal effect of NCAA D1 athletic participation on GPA. Used walk-on entry and mid-career injury as within-subject identification; found a +0.8 GPA effect for football players with low entering SAT scores and an opposing −0.5 effect for women’s crew.