Yuekai Sun

Yuekai Sun is an associate professor of statistics at the University of Michigan. His research leverages statistical science to make AI more safe and reliable in the real world. Some topics of recent interest include

1. AI alignment & evaluation,
2. algorithmic fairness,
3. transfer learning.

Before coming to Michigan, Yuekai obtained his PhD in computational mathematics from Stanford University, where he worked with Michael Saunders and Jonathan Taylor, and his BA (also in computational math) from Rice University.