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 three 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.

Follow the Blei lab on Twitter.

Machine Learning at Columbia

Columbia has a thriving machine learning community, with many faculty and researchers across departments. The Machine Learning at Columbia mailing list is a good source of information about talks and other events on campus. (To subscribe, send email to machine-learning-columbia+subscribe@googlegroups.com.)


In Spring 2020 I am teaching Representation Learning: A Probabilistic Perspective. My previous courses are here.

Office hours

During the semester I hold weekly office hours in Mudd 430. 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: