Oleksii IgnatenkoUkrainian Catholic University

Oleksii is a professor at the computer science department at the Ukrainian Catholic University. He teaches courses in NLP, complex systems, game theory, and machine learning. He also teaches at the Kyiv Academic University and the Kyiv-Mohyla Academy. Oleksii researches game theory and its application to computer systems, machine learning and NLP.

Sinan ErtemelIstanbul Technical University

Sinan Ertemel is an Assistant Professor of Economics at Istanbul Technical University. He holds a PhD in Economics from Rice University and researches Game Theory, Matching and Market Design, Fair Allocation, Social Choice Theory, and Energy Economics. His work is published in economic journals, and he actively participates in international game theory conferences. In addition to teaching microeconomics and game theory, he provides specialized training in decision-making to industry leaders and consults for government institutions and organizations in the energy and education sectors.

Roger MyersonHarris School of Public Policy and the Griffin Department of Economics at the University of Chicago

Roger Myerson is the David L. Pearson Distinguished Service Professor at the University of Chicago and the 2007 Nobel Memorial Prize laureate in Economic Sciences for his contributions to mechanism design theory. In game theory and economics, he introduced refinements of Nash's equilibrium, the revelation principle, and the revenue-equivalence theorem for analyzing communication among agents with different information. He also applied game-theoretic tools to political science to analyze the effects of electoral systems and constitutional structures on political incentives. Myerson is a member of the National Academy of Sciences, the American Academy of Arts and Sciences, the American Philosophical Society, and the Council on Foreign Relations.

Piotr FaliszewskiAGH University of Science and Technology

Piotr Faliszewski is a professor of computer science at the AGH University of Science and Technology. His research focuses on computational social choice, making foundational contributions to multiwinner voting, participatory budgeting, and preference data analysis via the map of elections framework. A recipient of the Friedrich Wilhelm Bessel Research Award, he recently led the ERC Consolidator project PRAGMA. He has co-authored over 180 publications, serves as an associate editor of the Artificial Intelligence journal, and has co-chaired AAMAS, MFCS, and COMSOC.

Tatjana ChavdarovaTU Wien

Tatjana Chavdarova is an Assistant Professor at TU Wien, researching learning dynamics in multi-agent and game-theoretic machine learning. She earned her Ph.D. at EPFL and held research positions at Mila, DeepMind, UC Berkeley, and Politecnico di Milano. Her work is supported by the Swiss National Science Foundation and a €1.8M Vienna grant for the Multi-Player AI project. She also co-organized the NExT-Game and DynaFront workshops at ICML 2026 and NeurIPS 2025.

Ariel RubinsteinTel Aviv University & New York University

Ariel Rubinstein is a Professor of Economics at Tel Aviv University and New York University. He received his PhD in Economics from the Hebrew University of Jerusalem, where he also studied mathematics and statistics. Professor Rubinstein is widely recognized for his influential contributions to economic theory, particularly his seminal 1982 work on the Rubinstein bargaining model, a foundational result in game theory.His research focuses on decision theory, game theory, and the philosophical foundations of economic modeling. Professor Rubinstein regularly lectures at leading institutions and is known for his thought-provoking writing on the methodology of economics.

Edith ElkindNorthwestern University

Edith Elkind is the Ginny Rometty Professor of Computer Science at Northwestern University, focusing on computational social choice, algorithmic game theory, and collective decision-making. She previously served as a Professor at the University of Oxford and Game Theory Theme Leader at the Alan Turing Institute. A Fellow of EurAI and ELLIS, she received the 2023 ACM SIGAI Autonomous Agents Research Award. She currently serves as Editor-in-Chief of the Journal of Artificial Intelligence Research and has held leadership roles at IJCAI, AAMAS, ACM EC, and AAAI.

Tuomas SandholmCarnegie Mellon University

Tuomas Sandholm is the Angel Jordan University Professor of Computer Science at Carnegie Mellon University, Co-Director of CMU AI, and Director of the Electronic Marketplaces Laboratory. His research integrates AI, economics, and operations research, focusing on algorithmic game theory, market design, and strategic reasoning. He developed algorithms for the U.S. national kidney exchange and created the superhuman poker AIs Libratus and Pluribus. A serial entrepreneur, he founded CombineNet and Strategy Robot. He holds a PhD from UMass Amherst and has received the AAAI Award for AI for the Benefit of Humanity, the IJCAI Minsky Medal, and the ACM Autonomous Agents Research Award.