I am an associate professor in the Computer Science department of Princeton University. I work in the field of machine learning . (See my CV.)

My Ph.D. advisor was Michael Jordan at U.C. Berkeley Computer Science. I was a postdoctoral researcher with John Lafferty at CMU in the Machine Learning department.

My research interests include:

• Probabilistic graphical models and approximate posterior inference
• Topic models, information retrieval, and text processing
• Bayesian nonparametric statistics

See my publications for manuscripts and software.

Current students and postdocs

• Allison Chaney
• Sean Gerrish
• Sam Gershman
• Prem Gopalan
• Jeremy Manning
• David Mimno
• Gungor Polatkan
• Rajesh Ranganath
• Chong Wang
• Tian Wang

Former students and postdocs

• Jordan Boyd-Graber   (Assistant Professor, University of Maryland)
• Jonathan Chang   (Data Scientist, Facebook)
• Lauren Hannah   (Postdoctoral Fellow, Duke University)
• John Paisley (Postdoctoral Fellow, University of California Berkeley)
• Matt Hoffman   (Postdoctoral Fellow, Columbia University)

If you are interested in doing undergraduate research with me, please read this first.