Scholar
Andreas Haupt
Google Scholar ID: O6NknDYAAAAJ
Stanford University
Citations & Impact
Citations
370
H-index
9
i10-index
9
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Machine Learning from Human Preferences', 'AI should not be an imitation game: Centaur evaluations', 'Convex Markov Games: A Framework for Creativity, Imitation, Fairness, and Safety in Multiagent Learning', and co-authored an upcoming textbook on Machine Learning from Human Preferences.
Research Experience
- Currently a Human-Centered AI Postdoctoral Fellow at Stanford’s Economics and Computer Science Departments, advised by Erik Brynjolfsson and Sanmi Koyejo; has worked on competition enforcement for the European Commission’s Directorate-General for Competition and the U.S. Federal Trade Commission; taught high school mathematics and computer science in Germany before his Ph.D.
Education
- Ph.D. in Engineering-Economic Systems from MIT in February 2025; Master's degrees in Mathematics (2017) and Economics (2018, with distinction) from the University of Bonn.
Background
- His research interests include the elicitation and aggregation of human preferences in machine learning systems, including questions of privacy, competition, and consumer protection. He uses methods from microeconomic theory, structural econometrics, and reinforcement learning in his work.
Miscellany
- Committed to education and scholarship; has worked with the Federal Trade Commission on AI alignment issues.
