Melanie Weber is an Assistant Professor of Applied Mathematics and Computer Science at Harvard University, where she leads the Geometric Machine Learning Group. Her research focuses on geometric structure in data, machine learning, optimization, and scientific applications.
Melanie Weber is an Assistant Professor of Applied Mathematics and Computer Science at Harvard University, where she leads the Geometric Machine Learning Group. Her research focuses on geometric structure in data, machine learning, optimization, and scientific applications.
Career
Melanie Weber studied at Princeton University (PhD in Applied Mathematics), University of Leipzig (BSc/MSc in Mathematics and Physics), and University of Washington (MSc in Applied Mathematics).