Julius Durmann

Julius Durmann is a Ph.D. student and Researcher at the Department of Computer Science, Technical University of Munich, working under Prof. Martin Bichler's research group since July 2023. His work bridges Algorithmic Game Theory, Market Design, and Machine Learning, focusing on algorithmic collusion in Bertrand settings and equilibrium learning in games.

• Education: M.Sc. in Robotics, Cognition, Intelligence (2020-2023), B.Sc. in Maschinenwesen (2017-2020), and a semester abroad at ETH Zürich (2021-2022)

His research explores collusion of algorithms through models like Online Optimization Algorithms and Agentic Markets, with publications in journals and conferences such as at - Automatisierungstechnik and the European Control Conference. He has contributed to teaching courses like Business Analytics and Machine Learning and Learning in Games, mentoring B.Sc. and M.Sc. students on topics including Learning to Optimize and Electricity Price Forecasting. His methodological interests include Reinforcement Learning and Game Theory applications in computational markets.