I am a computer science PhD student at the University of California, Berkeley. I am a member of the Berkeley Artificial Intelligence Research lab, where I am coadvised by Nika Haghtalab and Michael Jordan.
My research broadly aims to develop more robust and reliable machine learning systems. I am particularly interested in:
- Designing more robust ML systems that are resilient to real-world conditions and game-theoretic effects.
- Rethinking how we collect data with new algorithms for interactive machine learning, active learning, and domain adaptation.
- Exploring the mathematical connections between robustness, fairness and learning.
I studied computer science as an undergraduate student at the California Institute of Technology (better known as Caltech), where I worked on machine learning and economics research with some great mentors including Adam Wierman, Anima Anandkumar, and Yisong Yue. I was previously a machine learning research intern with Nvidia Research and Salesforce Research. I’ve also been fortunate to have interned at leading companies building real world machine learning products, including dialogue agents at Google and self-driving cars at Uber.