Welcome to my website. I am a Doctoral Fellow at the ETH AI Center in Zürich and currently a Student Researcher at Google DeepMind, working at the intersection of machine learning, game theory and optimization. Outside of academia, I enjoy playing Tennis, doing Kung Fu and solving escape rooms.
Work
My research interest are multi-agent reinforcement learning, mechanism design, game theory and machine learning. 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.
Prior to my PhD, I have worked as a research and teaching assistant at the Computation and Economics Research Group of the University of Zurich. Outside of academia, I was working part-time as a research analyst with Parsumo Capital during my Bachelor’s and Master’s, and as a Data Science Trainee at the European Systemic Risk Board of the European Central Bank.
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).