Welcome to my website. I am a Doctoral Fellow at the ETH AI Center in Zürich, working at the intersection of machine learning and game theory. During my PhD, I was also a Student Researcher at Google DeepMind.
Work
My research focuses on multi-agent learning problems. This naturally bridges topics, such as (multi-agent) reinforcement learning, mechanism design, alignment and game theory. I am supervised by Niao He and Sven Seuken. You can find my publications here on Google Scholar.
If you are interested in my work and want to chat or write a MSc thesis, feel free to contact me under vinzenz [dot] thoma [at] ai [dot] ethz [dot] ch.
Education
I obtained my BSc in Mathematics from ETH Zürich and my MSc in Mathematics and Foundations of Computer Science from the University of Oxford. For my Master’s dissertation, which was supervised by Prof. Michael Wooldridge I designed and implemented a networked multi-agent reinforcement learning algorithm to learn linear temporal logic specifications. During my whole studies I was fortunate to receive fellowships from the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) and the Schweizerische Studienstiftung (Swiss Study Foundation).