Henry Zhu is a first-year PhD student in the Stanford AI Lab (SAIL). His current research interests are broad and in flux, including machine learning for basic science and social good, uncertainty estimation in deep models, causal inference, and fairness in machine learning. He has previously studied reinforcement learning for real world robotics.

Honors & Awards

  • Graduate Research Fellowship, National Science Foundation (2020)

Education & Certifications

  • B.S., University of California, Berkeley, Electrical Engineering and Computer Science (2020)