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.
- PhD in Statistics, 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