About me

I am an Assistant Professor in the Department of Computer Science at Aarhus University, and a member of the Computational Complexity and Game Theory group. Before that, I was a postdoctoral researcher at École Polytechnique Fédérale de Lausanne and Singapore University of Technology and Design. I received my PhD from National Technical University of Athens in algorithmic game theory.

Research

My research lies at the intersection of game theory, machine learning, and optimization. A big part of my research couples ideas of the above fields to understand dynamics in crucial settings such as markets, blockchain systems, and AI training (see, for example, our work on Ethereum transaction fees). More recently, I have been developing efficient optimization methods for machine learning and exploring the application of deep learning to combinatorial optimization problems.

Awards

  • Jan 2025: I have received the Villum Young Investigator Award (9 million DKK / 1.2 million euros) for the project “Developing an online learning approach to multi-agent systems: Game dynamics and equilibria”.

Selected Publications

Game, Market and Price Dynamics

Equilibrium Computation

Optimization and Machine Learning