Paul Friedrich

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. In my research, 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.

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!

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Design from Jon Barron's website