** 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.

**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.

**Education.**

*PhD in Statistics*, (expected 2014), UC Berkeley [NSF GRFP, Berkeley Fellowship]*MS in Computer Science*, 2013, UC Berkeley [NSF GRFP]*MPhil in Physics, by research*, 2009, University of Cambridge [Marshall Scholarship]*Master of Advanced Study in Mathematics (Part III of the Tripos)*, 2008, University of Cambridge [Marshall Scholarship]*AB in Mathematics*, 2007, Princeton University