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Update: I have left MIT and joined
Lyric Labs, an R&D group within Analog Devices, Inc. We'll be working on hardware accelerated Bayesian inference, probabilistic programming, and questions like "What is the GPU of machine learning?"
Formerly, I was a research scientist in the Computational Cognitive Science
Group and
Laboratory for Information and Decision Systems
at MIT. I worked with
Josh Tenenbaum,
Leslie Kaelbling
and Alan Willsky.
My research interests lie at the intersection of perception, control
and learning. Specific interests include probabilistic programming,
probabilistic modeling (particularly with structured Bayesian
nonparametrics), reinforcement learning, dynamical systems modeling,
information theory, manifold learning, kernel methods, massively
parallel processing, visual perception, and optimal control. I dabble
in robots as a side hobby.
Latest news:
I helped to organize a AAAI Spring Symposium called Designing Intelligent Robots: Reintegrating AI with George Konidaris, Sarah Osentoski, Todd Hester, Stephen Hart and Byron Boots.
Check it out!
Our IJCAI 2011 paper, Bayesian Policy Search with Policy Priors won the Best Poster award!
Finale Doshi-Velez and I co-organized the
ICML 2011 Workshop on Planning and Acting with Uncertain Models.
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