Panayotis Mertikopoulos is a principal researcher at the French National Center for Scientific Research (CNRS). After completing his undergraduate studies in physics at the University of Athens, he received his MSc and MPhil degrees in mathematics from Brown University in 2005, and his PhD degree from the University of Athens in 2010. Before joining the CNRS in 2011, he spent one year as a post-doctoral fellow at École Polytechnique in Paris. Since 2011, he has held visiting or part-time positions at UC Berkeley and EPFL. His research interests span the interface of game theory, learning and optimization, with a special view towards their applications to machine learning, data science, and operations research. His most recent distinctions include a nomination for the médaille de bronze of the CNRS in computer science in 2020 and the INFORMS best paper award in network science in 2022.

RESEARCH AREAS

Game Theory, Optimization and Multi-Agent Learning