Enayat Ullah is a Research Scientist at Meta, with a rich background in optimization, statistics, and machine learning. Previously, Enayat served as a Visiting Graduate Student at the Institute for Advanced Study and the Simons Institute for the Theory of Computing, focusing on advanced topics in machine learning. Enayat has experience as a Research Intern at Google and Adobe, contributing to projects on private federated learning and machine unlearning, respectively. Enayat's academic foundation includes a Master of Science in Mathematics and Computer Science from the Indian Institute of Technology, Kanpur, and two degrees from The Johns Hopkins University, earning both Master of Science and Doctor of Philosophy in Computer Science.
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