Ludwig Schmidt
Ludwig Schmidt is an assistant professor of computer science at Stanford, where his group has created OpenCLIP, DCLM, and LAION-5B for open-source machine learning. He earned a bachelor's degree at Cambridge in 2011 and an MIT PhD in 2018. A paper he wrote with Chinmay Hegde and Piotr Indyk won a best paper award at ICML in 2015, and Google named him a 2016 PhD fellow. He co-authored LAION-5B, an open image-text dataset that received an Outstanding Paper award at NeurIPS in 2022. Stanford Data Science welcomed him in May 2025, after his work as an assistant professor at the University of Washington and research roles at Anthropic.
- Now at
- Stanford University
- Works
- 80
Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2011–2018
An MIT doctorate with Piotr Indyk
He earns a bachelor's degree at Cambridge in 2011 and an MIT PhD in 2018, with Piotr Indyk as his advisor. Afterward he works as a postdoctoral researcher at UC Berkeley.
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2015
A best paper at ICML
His paper A Nearly-Linear Time Framework for Graph-Structured Sparsity, written with Chinmay Hegde and Piotr Indyk, wins a best paper award at ICML in 2015.
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2016
A Google PhD fellowship
Google names him a 2016 PhD fellow in machine learning, for work on faster algorithms for sparse recovery.
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2022
LAION-5B earns NeurIPS award
LAION-5B, an open image-text dataset that he co-authors, wins an Outstanding Paper award at NeurIPS in 2022.
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2024
DataComp-LM dataset paper
DataComp-LM, a datasets and benchmarks paper at NeurIPS 2024, lists him among its co-authors.
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May 2025
Joining Stanford Data Science
Stanford Data Science welcomes him in May 2025. He comes from an assistant professorship at the University of Washington and research roles at Anthropic.
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Since 2025
Assistant professor at Stanford
He is an assistant professor of computer science at Stanford, where his group has created OpenCLIP, DCLM, and LAION-5B for open-source machine learning.
Sources and credits
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- Ludwig Schmidt | UW College of Engineering
- Google Names Ludwig Schmidt as 2016 PhD Fellow in Machine Learning | MIT CSAIL Theory of Computation
- Ludwig Schmidt's Profile | Stanford Profiles
- ICML 2015 best paper summary: A nearly-linear time framework for graph-structured sparsity - Microsoft Research
- A Nearly-Linear Time Framework for Graph-Structured Sparsity
- NeurIPS 2022 Awards
- Allen School News Archive » Allen School and AI2 researchers recognized at NeurIPS for outstanding contributions in large-scale embodied AI and next-generation image-text models
- Ludwig Schmidt
- Meet New SDS Faculty Ludwig Schmidt at the Causal Science Center Conference on Experimentation | Stanford HAI