Max Lamparth
Bio
Updated 03/22/26Max Lamparth is a Research Fellow at the Hoover Institution's Technology Policy Accelerator at Stanford University, where he is also affiliated with the Stanford Intelligence Systems Laboratory and the Stanford Center for AI Safety. He holds a Ph.D. in Natural Sciences from the Technical University of Munich (2023) and B.Sc. and M.Sc. degrees in Physics from Ruprecht Karl University of Heidelberg. His research focuses on the security and safety of large language models through mechanistic interpretability, reward modeling, and robust evaluation, including developing model-internal interventions for failure modes such as backdoors and reward-proxy shortcuts. He created and teaches CS120: Introduction to AI Safety at Stanford, and his technical work has directly informed AI governance efforts through policy publications in outlets such as Foreign Affairs and the Carnegie Council for Ethics in International Affairs, as well as direct engagement with policymakers on AI legislation. His research has been published at NeurIPS, CoLM, FAccT, and AIES, and has received media coverage from MIT Technology Review, Axios, and New Scientist.
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Links
Updated 03/22/26- Personal Website
- https://www.maxlamparth.com/
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