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What do you do with Data Science?

My research spans foundations of computer science, machine learning, and optimization: from approximability of NP-hard problems, to combinatorial, convex and non-convex optimization and sampling, to min-max optimization, to tackling algorithmic questions involving dynamical systems, stochastic processes and manifolds. I am also broadly interested in understanding and addressing some of the key questions that arise in nature and society from a computational viewpoint. Here, my current focus includes studying entropy, the emergence of intelligent behavior, and ethical issues such as bias and privacy that arise at the interface of artificial intelligence and society.

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