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:

Here are two recent 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.


In Spring 2017, I am teaching Applied Causality.

My previous courses are here.

Office hours

During the semester I hold weekly office hours in the Statistics department (SSW 912). All are welcome. For students and postdocs, coming to my office hours is easier than using email to make an appointment.

Research group

Students and postdocs:

Former students and postdocs: