Eric Zhao

I’m a fourth-year computer science PhD student at UC Berkeley. I’m advised by Nika Haghtalab and Michael I. Jordan, and I’m supported by a Google Research Fellowship and the NSF Graduate Research Fellowship. I’m concurrently a visitor at Google Research and Simons Institute, and a member of the Berkeley Artificial Intelligence Research Lab and the CS Theory group.

My research develops algorithms and mathematical foundations for multi-objective machine learning. I am particularly interested in multi-objective learning as a means of (1) understanding the emergent capabilities of large language models and (2) designing algorithmic approaches for data collection, forecasting, and search.

I’ve previously worked on large language models at Google Research, automated mechanism design at Salesforce Research, algorithmic fairness at Nvidia Research, and self-driving cars at Uber. I received my bachelor’s degree from Caltech (California Institute of Technology) in 2020.

My CV can be found here.