Melanie Weber

Assistant professor, Harvard University

Melanie Weber is an assistant professor of applied mathematics and computer science at Harvard University. Her research focuses on geometric structure in data and models and how to leverage such information for the design of new, efficient machine learning methods with provable guarantees.

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