Tamara Broderick

About me. I am currently a Statistics PhD candidate at the University of California, Berkeley. I am a member of the Statistical AI Lab (SAIL), work in the AMPLab in EECS, and am advised by Mike Jordan.

I am joining the EECS Department at MIT in Spring 2015.

Research. My research interests include the design and study of Bayesian nonparametric models, with particular emphasis on feature modeling as a generalization of clustering within unsupervised learning. In clustering, each data index belongs to exactly one group called a cluster. In feature modeling, each data index may belong to any non-negative integer number of groups, now called features. See also topic models and mixed membership models.