Max Lamparth
Scholar

Max Lamparth

Google Scholar ID: snC9WF4AAAAJ
Research Fellow, Stanford University
Machine LearningUncertainty QuantificationInterpretabilityAI SafetyResponsible AI
Citations & Impact
All-time
Citations
642
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
10
list available
Contact
Resume (English only)
Academic Achievements
  • Published in leading technical and socio-technical conferences such as NeurIPS, CoLM, FAccT, and AIES, as well as policy-oriented outlets like Foreign Affairs. Research has been covered by international media including MIT Technology Review, The Washington Times, The Japan Times, LaPress, Axios, Deutschlandfunk, and New Scientist.
Research Experience
  • Currently a Research Fellow at the Hoover Institution’s Technology Policy Accelerator; Previously a postdoctoral fellow at the Stanford Center for AI Safety, the Center for International Security and Cooperation, and the Stanford Existential Risks Initiative, advised by Prof. Clark Barrett, Prof. Steve Luby, and Prof. Paul Edwards.
Education
  • Received a Ph.D. from the School of Natural Sciences at the Technical University of Munich in August 2023; Holds a B.Sc. and M.Sc. in Physics from Ruprecht Karl University of Heidelberg.
Background
  • Specializes in interpretability and robustness of AI systems, ethical decision-making of language models, and uncertainty quantification. Aims to promote the safe and responsible use of AI in society, focusing on language models for automated decision-making. Member of the Stanford Intelligence Systems Laboratory and the Stanford Center for AI Safety.