Research interests include the computational mechanisms of learning, inference, and control in both natural and artificial systems. We integrate ideas from a wide range of disciplines such as machine learning, computational neuroscience, control theory, dynamical systems theory, statistical physics, and theoretical biology.
Miscellany
Aiming to bridge the gap between natural and artificial intelligence and contribute more capable and efficient AI solutions to address a wide variety of scientific and societal challenges.