László Gulyás (Ph.D. in Computer Science) is assistant professor at the Department of History and Philosophy of Science, Lorand Eotvos University, Budapest. He is also a research partner at AITIA International Inc and a fellow at Collegium Budapest (Institute for Advanced Study). He is a member of the Scientific Advisory Board of the Simulation Center of the Informatics Cooperative Research and Education Center of the Eötvös Loránd University. He spent three semesters at Harvard University's Government Department and at the Center for Basic Research in the Social Sciences (CBRSS) as a research associate.

He has been doing research on agent-based modeling and multi-agent systems since 1996. He leads the development of the Multi-Agent Simulation Suite (MASS) and the Functional Agent-Based Language for Simulations (FABLES) In the past, he has led the development of the Multi-Agent Modeling Language (MAML), the first special purpose programming language for agent-based simulation. He also contributed to the design and development of RePast, one of the leading second generation agent-based simulation environments. He's been involved in teaching both graduate and undergraduate level courses in agent-based modeling and simulation at Harvard University, at the Central-European University and at the Eötvös Loránd University, Hungary. He co-directed the Complex Systems and Social Simulation summer school at the Central European University's Summer University, Budapest, 2008, and was also a faculty member at the 2002 Budapest Complex Systems Summer School organized by the Santa Fe Institute. Dr. Gulyás has authored several book chapters (5+) and journal articles (5+), and published many conference papers (40+). He participated in two international research consortia under the European Commission's 6th Framework Programme and was project leader or participant in 4 R&D projects funded by the Hungarian Government.

Dr. Gulyás is a graduate of the Eötvös Loránd University, Hungary, from where he received his PhD, MSc and BSc degrees, all in Computer Science.

His main research interests are computational multi-agent systems where he has worked on 'engineering' desired emergent phenomena. He is currently working on agent-based models of social systems.