I am an assistant 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.

My graduate students:

• Jordan Boyd-Graber
• Jonathan Chang
• Sean Gerrish
• Gungor Polatkan   (co-advised with Ingrid Daubechies)
• Chong Wang

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