Anna M. Maddux

I am currently enrolled in a PhD program at EPFL Lausanne, where I am conducting research under the supervision of Maryam Kamgarpour in the Systems Control and Multiagent Optimization Research (Sycamore) Lab. My research interests lie in the fields of game theory, mechanism design and learning in multi-agent systmes. In my research, I develope learning algorithms with convergence- and sample complexity guarantees for repeated games. In particular, I focus on games with unknown constraints for which I establish learning algorithms that result in an feasible outcome. I am also very interested in understaning to which outcome differenet learning algorithms converge and whether an efficient equilibrium in terms of social welfare can be attained by different learning algorithms. To validate my learning algorithms I consider various application areas ranging from shared mobility systems, energy markets, and multi-robot systems.

Prior to my PhD, I obtained a MSc. in Statistics from ETH Zürich (2021), where I did my master’s thesis at the Automatic Control Laboratory (Ifa) under the supervision of Florian Dörfler and Fadoua Balabdaoui. I, furthermore, obtained a BSc. in Mathematics (2019) and a BSc. in Economics (2018) from the Albert-Ludwigs-University Freiburg. In the past, I interned at Daimler Benz and the German federal parliament. Throughout my undergraduate and graduate studies I have been a fellow of the Friedrich Nauman Foundation. I was also a fellow of the Accenture female talent program.

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