I am now a Software Engineer at Google, where I build statistical models and large-scale machine learning systems.
In December of 2011, I finished my Ph.D. at UC Berkeley in the Computer Science Division. I was advised by Stuart Russell and Tom Griffiths, and I worked in the Computational Cognitive Science Lab.
My Ph.D. thesis involved using statistical machine learning to build probabilistic models of human cognition. I focused on developing nonparametric Bayesian statistical models of the ways that people learn and represent categories of objects. I also built online algorithms for dimensionality reduction problems, including Bayesian topic modeling and low-rank matrix factorization.