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Lester Mackey - Wikipedia

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Lester Mackey is an American computer scientist and statistician. He is a principal researcher at Microsoft Research and an adjunct professor at Stanford University. Mackey develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. He was named a 2023 MacArthur Fellow.[1] Mackey grew up on Long Island.[2] He has said that, as a teenager, the Ross Mathematics Program in number theory introduced him to proof-based mathematics, where he learned about induction and rigorous proof.[2] He got his first taste of academic research at the Research Science Institute.[2] He joined Princeton University as an undergraduate student, where he earned his BSE in Computer Science. There he conducted research with Maria Klawe and David Walker.[3] Mackey was a graduate student at the University of California, Berkeley, where he earned a PhD in Computer Science (2012) and an MA in Statistics (2011).[

Lester Mackey - Wikipedia Jump to content From Wikipedia, the free encyclopedia American computer scientist and statistician Lester Wayne Mackey II Born Long Island , NY , USA Alma mater University of California, Berkeley Princeton Scientific career Fields Machine learning Computer science Statistics Institutions Microsoft Research Stanford University Thesis Matrix Factorization and Matrix Concentration   (2012) Doctoral advisor Michael I. Jordan Website https://web.stanford.edu/~lmackey Lester Mackey is an American computer scientist and statistician. He is a principal researcher at

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