I'm a postdoc at Harvard Medical School and the Harvard School of Engineering and Applied Sciences. My research interests include

• Healthcare Applications of Machine Learning
• Bayesian Nonparametrics (especially efficient inference)
• Reinforcement Learning in Partially Observable Domains

My PhD (at the Massachusetts Institute of Technology) applied Bayesian nonparametric models (which have the nice property of scaling the sophistication of learned models with the complexity of the data) to problems in reinforcement learning.

Research

Quick Workshop/Teaching Links

Resources and Notes