Stanford University
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Max Lamparth
Research Fellow
BioMax is a Research Fellow at the Hoover Institution’s Technology Policy Accelerator and a member of the Stanford Intelligence Systems Laboratory and the Stanford Center for AI Safety at Stanford University.
With his research, he is working towards making AI systems inherently more secure and safe, providing critical insights to inform and guide effective AI policies, and shape public discourse. He specializes in interpretability and robustness of AI systems, ethical decision-making of language models, and uncertainty quantification. His work aims to promote the safe and responsible use of AI in society, with a particular emphasis on language models for automated decision-making, and has been recognized through publications in leading technical and socio-technical conferences such as NeurIPS, CoLM, FAccT, and AIES, as well as policy-oriented outlets like Foreign Affairs. Additionally, his research has garnered attention from international media, with coverage in the MIT Technology Review, The Washington Times, The Japan Times, LaPress, Axios, Deutschlandfunk, and New Scientist.
Prior to his current appointment, he was a postdoctoral fellow at the Stanford Center for AI Safety, the Center for International Security and Cooperation, and the Stanford Existential Risks Initiative at Stanford University advised by Prof. Clark Barrett, Prof. Steve Luby, and Prof. Paul Edwards. Max received his Ph.D. in August 2023 from the School of Natural Sciences at the Technical University of Munich and holds a B.Sc. and M.Sc. in Physics from the Ruprecht Karl University of Heidelberg. -
Johnson Lamwatthananon
Master of Arts Student in East Asian Studies, admitted Winter 2026
Current Research and Scholarly InterestsUS-China-Taiwan Relations
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Linda (Yu-Ling) Lan
Basic Life Research Scientist, Genetics
BioLinda Lan, DVM, PhD is a postdoctoral fellow in the Snyder Lab. Her research focuses on understanding long-term illness post-acute infections by using a combination of different types of data (multi-omics) and wearable technologies. Currently, Linda is working on three projects.
The first project involves studying the shared mechanisms of long COVID, ME/CFS, and PTLDS using smartwatches and micro-sampling. The second project involves examining the role of autoantibodies in long COVID patients and COVID vaccine side effects. The third project involves exploring the changes in the molecular and physiological responses of astronauts during short space flights using multi-omics and wearable devices.
Linda previously conducted her PhD research at the University of Chicago, where she studied memory B cell responses to a chimeric-based universal influenza virus vaccine candidate. In her leisure time, she enjoys running, hiking, and listening to audiobooks.