Tinashe Handina

I am a graduate student in the Department of Computing and Mathematical Sciences at Caltech. My research sits at the intersection of online learning, algorithms, machine learning, and economics. I am particularly interested in how strategic interactions influence learning algorithms, with applications in online markets, healthcare systems, transportation, and networks.

I am fortunate to be advised by Professors Adam Wierman and Eric Mazumdar. Previously, I received a B.S.E in Computer Science from Princeton, where I had the opportunity to work with Professors Matt Weinberg on auctions and Prateek Mittal on adversarial machine learning.

I am honored to have received Caltech’s Engineering and Applied Sciences’ Chair Scholarship for the academic years 2022-23 and 2023-24, as well as the LEAP Alliance Fellowship for 2022-23.