I'm now working at Google Ventures, where I do machine learning, statistical modeling, data mining, and <trendy big-data buzzword> in the venture capital and startup space. I previously worked on a team in Google Research building the largest-scale machine learning system in the world.

In December 2011, I finished my PhD 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 PhD 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.