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Department of Informatics Computation and Economics Research Group

Paul Friedrich

Paul Friedrich
Ph.D. Student
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.B.04

Short Bio

I am a Computer Science PhD student in the Department of Informatics at the University of Zurich, co-advised by Sven Seuken and Giorgia Ramponi. I am associated with the ETH AI Center. I hold a Master's (since 2020) and Bachelor's (since 2018) degree in Mathematics from ETH Zurich, advised by Josef Teichmann. There, I focused on probability theory, mathematical finance, and machine learning. In 2017, I spent a semester abroad at the Hong Kong University of Science and Technology. During and after my studies, I worked as a consultant in the risk management practice of Ernst & Young Switzerland. Outside of work you can catch me running, or enjoying pretty much any sport on, in and below the water.

If you are offering a research internship for which I could fit well or are interested in collaborating, please reach out! CV and contact at my personal website.

Research Interests

I am interested in using machine and reinforcement learning to analyze and shape equilibria in games and marketplaces, and design more fair and efficient mechanisms.

Research Papers

  • Scalable Mechanism Design for Multi-Agent Path Finding. Paul Friedrich, Yulun Zhang, Ludwig Dierks, Michael Curry, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken. Under review, preprint available on arXiv.
  • Market Design for Drone Traffic Management. Sven Seuken, Paul Friedrich and Ludwig Dierks, 2022. Forthcoming at AAAI-2022, preprint available on arXiv.
  • Deep Investing in Kyle's Single Period Model. Paul Friedrich and Josef Teichmann, 2020. Preprint available on arXiv.


Weiterführende Informationen


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