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Eaman Jahani

Assistant Professor, Robert H. Smith School of Business, University of Maryland

Eaman Jahani is a MIT Initiative on the Digital Economy Research Affiliate and an assistant professor of Information Systems at University of Maryland Business school. He was a postdoctoral associate at UC Berkeley department of Statistics until January 2024 and received a dual PhD in Social and Engineering Systems and Statistics from IDSS and the Statistics and Data Science Center at MIT.

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Featured publications

Research Papers Prompt Adaptation as a Dynamic Complement in Generative AI Systems

April 12, 2026

  • David Holtz | Assistant Professor, Columbia Business School
  • Benjamin Manning | Ph.D. Candidate
  • Eaman Jahani | Assistant Professor, Robert H. Smith School of Business, University of Maryland
  • Hong-Yi Tu Ye | PhD Candidate
    • Joe Zhang | Stanford University
    Mohammed Alsobay | Microsoft Research
    Christos Nicolaides | University of Cyprus
    Siddharth Suri | Microsoft Research
    This paper studies prompt adaptation—how users adjust their inputs in response to evolving model behavior—using a common experimental design applied to two preregistered tasks with 3,750 total participants who submitted nearly 37,000 prompts.