Ludwig Schmidt
Assistant Professor of Computer Science
Bio
Ludwig Schmidt is an assistant professor at Stanford University in the Computer Science Department and Stanford Data Science. Ludwig’s research interests revolve around the empirical foundations of machine learning, often with a focus on datasets, reliable generalization, multimodality, and language models. Recently, Ludwig’s research group contributed to open source machine learning by creating OpenCLIP, DCLM, and the LAION-5B dataset. Ludwig completed his PhD at MIT and was a postdoc at UC Berkeley. Ludwig’s research received a new horizons award at EAAMO, best paper awards at ICML & NeurIPS, a best paper finalist at CVPR, and the Sprowls dissertation award from MIT.
2025-26 Courses
- Data for AI
CS 525 (Win) -
Independent Studies (5)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr, Sum) - Advanced Reading and Research
CS 499P (Aut, Win, Spr, Sum) - Curricular Practical Training
CS 390A (Win) - Independent Project
CS 399 (Aut, Win) - Independent Work
CS 199 (Win, Sum)
- Advanced Reading and Research
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Prior Year Courses
2024-25 Courses
- Machine Learning
CS 229, STATS 229 (Win)
- Machine Learning
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Aishwarya Mandyam, Aman Patel, Maya Varma -
Postdoctoral Faculty Sponsor
Benjamin Feuer -
Master's Program Advisor
Crystal Chen -
Doctoral Dissertation Co-Advisor (AC)
Liangyu Chen, Caroline Choi, Etash Guha, Shiye Su, Elaine Sui, Audrey Xie, John Yang, Wanjia Zhao -
Doctoral (Program)
Anas Awadalla, Alex Fang, Dhruba Ghosh