Melanie Weber
Harvard University
Melanie Weber is an Assistant Professor of Applied Mathematics and of Computer Science at Harvard University, where she leads the Geometric Machine Learning Group. She is also a 2025 Early Career Fellow with the Schmidt Sciences AI2050 Project and a 2024 Research Fellow in Mathematics with the Alfred P. Sloan Foundation. Her research studies 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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