Professor, Statistics and Computer Science, Columbia University
I am a professor of Statistics and Computer Science at Columbia University. I am also a member of the Institute for Data Sciences and Engineering. I work in the fields of machine learning and Bayesian statistics.
David’s Ph.D. advisor was Michael Jordan at U.C. Berkeley Computer Science. David was a postdoctoral researcher with John Lafferty at CMU in the Machine Learning department.
His research interests include:
- Probabilistic graphical models and approximate posterior inference
- Topic models, information retrieval, and text processing
- Bayesian nonparametric statistics