Home

I am an associate professor of statistics and director of the MS Data Science (MDS) program at the University of Michigan. My research leverages statistical science to make AI safer and more reliable. Some topics of recent interest include

• AI evaluation,
• algorithmic fairness,
• transfer learning.

Before coming to Michigan, I obtained my PhD and BA in computational math from Stanford University, advised by Michael Saunders and Jonathan Taylor, and Rice University respectively. I was born in Hangzhou, but I spent most of my formative years in Singapore and the San Francisco Bay Area.

I have learned a lot in my life. Unfortunately, most of it is about technicalities. – JR