Andreas Haupt is a Postdoctoral Fellow at Stanford’s Institute for Human-Centered AI and the Digital Economy Lab. He earned his Ph.D. from MIT in Fall 2024. He holds master’s degrees in Economics and Mathematics from the University of Bonn. Before his postdoc, he served at the U.S. Federal Trade Commission, contributed to the EU’s antitrust team for platform regulation and taught high-school mathematics. His current research seeks to improve expressions of human preference in human systems, and understand how AI is used productively.

📧 • CV • Linkedin • Github • G Scholar • ORCID

Affiliations. Stanford Economics • Stanford Computer Science • Stanford HAI • S-DEL • Stanford ML • CFRM

Professional Experiences. Federal Trade Commission • European Commission • Bundestag • MITx • Professional School Gross-Gerau.

Recent Leadership. Stanford HAI Global AI Governance Affinity Group • MIT Science Policy Initiative • MIT AI Ethics&Policy • MIT GSC Sustainability.

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Public Writing. Risk Aversion of Learning Algorithms (Games and Economic Behavior) • Contextual Privacy (ACM EC ‘22, R&R at AER) • Towards Psychologically Plausible Dynamic Preference Models (ACM RecSys ‘22) • Optimal Equilibria via Zero-Sum Games (Neurips ‘23) • Certification Design for a Competitive Market (ACM EC ‘24) • Recommending to Strategic Users (FORC ‘23) • Formal Contracting for Multi-Agent Reinforcement Learning (Autonomous Agents and Multi-Agent Systems) • Auctions for Federated Learning (ICLR ‘21 DPFL) • Understanding Single- and Multi-Homing on Transportation Platforms (Transportation Research: Part C) • Our Class Can’t Happen (letter) • Opaque Mechanisms • Comment for Data Access Delegated Act of the European Union Digital Services Act: Experimental Data • Steering No-Regret Learners (ACM EC ‘24) • The Economics of Social Network Interoperability (memo) • Convex Markov Games (ICML ‘25) • Optimal Preferencing Design • Centaur Evaluations (ICML ‘25 Position Paper) • Machine Learning from Human Preferences (Online Book)

Not Yet Online Writing. Retrospective Alignment • Game-Theoretic Network Decay • Optimal Generation Design • Controlled Generation in Compound Systems • A New Bridging Score • (Statistical) Contextual Privacy • An Illustrated Guide to Self-Preferencing • Personalization-Induced Market Concentration • If Community Notes is the answer, what is the question?

Theses. PhD in Engineering-Economic Systems • MS in Economics • MS in Mathematics • BS in Mathematics • BS in Computer Science.

Coverage. MIT.