Lester Mackey is a statistical machine learning researcher at Microsoft Research New England and an adjunct professor at Stanford University. His current research interests include statistical machine learning, scalable algorithms, high-dimensional statistics, approximate inference, and probability. Lately, he has been developing and analyzing scalable learning algorithms for healthcare, climate forecasting, approximate posterior inference, high-energy physics, recommender systems, and the social good.
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