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Ludwig Schmidt is an Assistant Professor in the Department of Computer Science at Stanford University, with a focus on machine learning and data science. His research interests are centered on empirical foundations of machine learning, emphasizing datasets, reliable generalization, multimodality, and language models. Notably, his research group has significantly contributed to open-source machine learning resources, including OpenCLIP and the DCLM, along with the LAION-5B dataset. Ludwig completed his PhD at the Massachusetts Institute of Technology (MIT) and subsequently held a postdoctoral position at the University of California, Berkeley. His work has been recognized with multiple awards, including the New Horizons Award from EAAMO, paper awards at ICML and NeurIPS, a finalist position at CVPR, and the Sprowls Dissertation Award from MIT.
Stanford University • Stanford, CA
Teaching various courses and conducting research in machine learning.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.