Andreas Haupt is a Human-Centered AI Postdoctoral Fellow at Stanford bridging computer science, economics, and policy with 11 years of research and applied experience. He earned a Ph.D. from MIT in Engineering-Economic Systems and has worked across top labs (Stanford HAI, CSAIL, LIDS) on algorithmic alignment, foundation models, and trustworthy AI. His policy-facing work includes a fellowship at the U.S. Federal Trade Commission and a traineeship at the European Commission where he contributed to high-profile data market inquiries, giving him a rare perspective on both technical design and regulatory scrutiny. Earlier in his career he taught mathematics and computer science in vocational settings, honing communication and mentorship skills that complement his technical depth. Based in Palo Alto, he co-chairs a global AI governance affinity group and blends rigorous quantitative training with a focus on real-world deployment and societal impact. Notably, his background spans rigorous math and economics degrees across European institutions, informing multidisciplinary approaches to AI safety and governance.
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