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I am currently a postdoctoral research associate in the Computational Cognitive Science
Group at MIT. My advisor is
Josh Tenenbaum.
My research interests lie at the intersection of perception, control
and cognition, and how all three have synergistic effects on learning.
Specific interests include reinforcement learning, unsupervised
learning of useful knowledge representations (including predictive
representations of state and structured nonparametric Bayesian
distributions), information theory, manifold learning, kernel methods,
massively parallel processing, visual perception, and optimal control.
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