Paul Friedrich

Since September 2020, Paul is a Ph.D. student advised by Prof. Sven Seuken in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. Paul holds a Master's degree in Mathematics from ETH Zurich, Switzerland. He spent one semesters abroad, during his bachelor studies at Hong Kong University of Science and Technology in Hong Kong. For his Master's thesis, which was supervised by Prof. Josef Teichmann, he applied deep learning techniques to replicate and analyze the equilibria arising in Kyle's insider trading model. During his studies and before starting his PhD, Paul worked as a consultant in the risk management practice of Ernst & Young Switzerland.

Solving Market Design problems with Machine Learning and AI techniques.

• 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.

• Head Teaching Assistant for Seminar Seminar: Advanced Topics in Economics and Computation (Spring 2022).
• Head Teaching Assistant for Lecture Lecture: Algorithmic Game Theory and Mechanism Design (Fall 2021).
• Teaching Assistant for Lecture Economics and Computation (Fall 2020).