I am a PhD candidate at the University of Wisconsin-Madison in the Theory of Computing group. I am lucky to be advised by Jerry Zhu and to work closely with Qiaomin Xie and Yudong Chen. I develop approximation algorithms for combinatorial optimization problems with uncertainty, especially those arising in multi-agent reinforcement learning. I am also a  LEAP Fellow and co-organize the Machine Learning Lunch Meetings.

Before that, I obtained my MS in Computer Science under Shuchi Chawla focusing on online and stochastic optimization. I obtained my BS with honors in Mathematics and Computer Science from the University of Illinois Urbana-Champaign, where I worked with Alexandra Kolla and Alexander Yong. When I’m not being a nerd, you can find me dancing, making art, hiking, or banging my head against a wall. Or is that just more being a nerd?