I am a professor of Statistics and Computer Science at Columbia University. I am also a member of the Columbia Data Science Institute. I work in the fields of machine learning and Bayesian statistics.

See my CV and publications .

My research interests include:

Recently, I have been giving two talks:

Most of our publications are attached to open-source software. See our GitHub page.

We released Edward: A library for probabilistic modeling, inference, and criticism.

Machine Learning at Columbia

Columbia has a thriving machine learning community, with many faculty and researchers across departments. The MLColumbia Google group is a good source of information about talks and other events on campus.


I am teaching Probabilistic Models of Discrete Data. My previous courses are here.

Office hours

I hold weekly office hours. My office is Room 430 in Mudd. All are welcome. For students and postdocs, this is easier than using email to make an appointment.

Research group

Students and postdocs:

Former students and postdocs: