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Madeleine Udell is an Assistant Professor in the Department of Management Science and Engineering at Stanford University with a courtesy appointment in the Department of Electrical Engineering. She completed her PhD in Computational Mathematical Engineering at Stanford and has done postdoctoral work at the Center for Mathematics and Information at Caltech. Her research focuses on accelerating and simplifying large-scale data analysis and optimization, addressing challenges in healthcare, finance, marketing, and engineering systems design. She aims to develop faster, memory-efficient algorithms and user-friendly optimization solvers. Additionally, her work in machine learning addresses issues such as data preprocessing, interpretability, and causality in practical application domains. Udell has received several awards, including the Kavli Fellowship in 2023, the Alfred P. Sloan Research Fellowship in 2021, and multiple prestigious grants.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.