Paul Friedrich

Paul Friedrich
Ph.D. Student
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.B.05

Short Bio

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 Josef Teichmann, he applied deep learning techniques to replicate and analyze the equilibria arising in Kyle's insider trading model. Before starting his PhD, Paul worked as a consultant in the risk management practice of Ernst & Young Switzerland.

Research Interests

Interpretable Machine Learning, Optimization, Statistics and their applications.

Research Papers

  • Deep Investing in Kyle's Single Period Model. Paul Friedrich and Josef Teichmann, 2020. Preprint available on arXiv.