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’s CS and AI Laboratory and the College of Computing in Fall 2024. He holds master’s degrees in Mathematics and Economics 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 how human preferences are learned and represented in algorithmic systems, and seeks to make the use of large language models more transparent and legible.

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

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

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

Co-Organized Events. Technical Questions on the EU AI Act • Algorithmic Audits in Economic Contexts • Wastewater Surveillance • Data Externalities.

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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.

Work in Progress. Optimal Preferencing Design • RegretBlocker • Game-Theoretic Network Decay • Optimal Generation Design

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

Coverage. MIT.