I currently work on protocol design, incentive optimization, and risk at Gauntlet.
Previously, I built data-intensive consumer experiences for PayPal Shopping, Giving, and Bill Pay and developed recommender systems for PayPal's Marketing Solutions.
I was once a PhD student advised by Ken Goldberg in UC Berkeley’s AUTOLab and BAIR Lab where I researched optimization and statistical learning techniques for distributed cloud robotics.
I studied math and cs at Pomona College before working on the Analysis and Experimentation team at Microsoft as a software developer.
MS in Operations Research, 2018
UC Berkeley
BA in Mathematics, 2015
Pomona College