CV

Economist working at the intersection of AI, industrial organization, and competition policy. Research and advisory work focus on digital markets, market design, energy platforms, and AI regulation, using game theory, empirical methods, and machine learning.

General Information

Full Name Nicolas Eschenbaum
Based in Zürich, Switzerland
Languages English, German
Google Scholar scholar.google.com

Positions

  • 2022 - present
    AI Lead and Managing Economist
    Swiss Economics
    • Leading work on AI, digital markets, and competition policy, combining industrial organization and computational methods in applied and research projects.
  • 2025 - present
    Member, ASCOLA Working Group AI/Algorithms
    Academic Society for Competition Law (ASCOLA)
    • Interdisciplinary work on the legal and policy implications of AI and algorithmic systems in competition law.
  • 2022 - present
    Collaborator
    Institute for Categorical Cybernetics
    • Research collaboration on formal and computational approaches to governance, digital systems, and market design.
  • 2024 - present
    Affiliated Researcher
    Zurich Center for Market Design, University of Zurich
  • 2024 - 2025
    Global Fellow
    European AI & Society Fund
    • Research on foundation models and competition policy.
  • 2018 - 2024
    Lecturer
    University of St. Gallen
    • Courses in industrial organization, digitalization, and competition policy.
  • 2018 - 2022
    Postdoctoral Researcher
    University of St. Gallen

Research Visits

  • 2020 - 2021
    Visiting Scholar
    Düsseldorf Institute for Competition Economics (DICE)

Education

  • 2013 - 2018
    Ph.D. in Economics and Finance
    University of St. Gallen
    • {"Summa cum laude — dissertation Essays in Industrial Organization (supervisor"=>"Prof. Stefan Bühler)."}
  • 2011 - 2012
    M.Sc. in Economics
    University of Edinburgh
    • Graduated with honours.
  • 2008 - 2011
    B.Sc. in Business and Economics
    Maastricht University

Grants and Prizes

  • 2024 - 2025
    The Market for Foundation Models
    European AI & Society Fund
    • CHF 50,000 (PI).
  • 2024 - 2025
    DMA-effects in Switzerland
    Mercator Foundation
    • CHF 30,000 (co-PI).
  • 2022 - 2025
    ChartEP: Charting Energy Platforms and Market Outcomes under Varying Policy Measures
    Swiss Federal Office of Energy
    • CHF 281,215 (PI).
  • 2022
    Young Scholar Award
    CRESSE
    • CHF 1,500.
  • 2021 - 2022
    Computational Learning in Economic Games
    Hasler Foundation
    • CHF 35,000 (co-PI).
  • 2021 - 2022
    The Competitive Effects of Pricing Software Systems
    University of St. Gallen
    • CHF 51,555 (co-PI).
  • 2018 - 2022
    Pricing in a Digital World
    Swiss National Science Foundation
    • CHF 500,000 (co-investigator), SNSF grant no. 178836.

Publications & Applied Work

  • The full list of journal articles, conference papers, and working papers is on the Research page.
  • Selected advisory and applied projects are on the Applied Work page.