- NeurIPS 2023: Maximum independent set: Self-training through dynamic programming
- ICML 2024: Learning to Remove Cuts in Integer Linear Programming
Awards: Received the Villum Young Investigator Award (9 million DKK / 1.2 million euros) in January 2025 for the project 'Developing an online learning approach to multi-agent systems: Game dynamics and equilibria'.
Research Experience
Work Experience: Postdoctoral researcher at École Polytechnique Fédérale de Lausanne and Singapore University of Technology and Design. Research Projects: Combining ideas from game theory, machine learning, and optimization to understand dynamics in crucial settings such as auctions, markets, and blockchain systems (e.g., work on Ethereum transaction fees). Recent research directions include developing efficient optimization methods for training machine learning models and exploring the applications of deep learning techniques to combinatorial optimization.
Education
PhD: National Technical University of Athens, Advisor information not provided, Specialization: Algorithmic game theory.
Background
Research Interests: Game theory, machine learning, and optimization. Professional field: Algorithmic game theory. Brief Introduction: Assistant Professor in the Department of Computer Science at Aarhus University, and a member of the Computational Complexity and Game Theory group.