Sara Silva, General Chair
University of Lisbon, Portugal | webpage
Sara Silva is a Principal Investigator at the Computer Science and Engineering Research Centre (LASIGE) in Universidade de Lisboa, Portugal. Her main research interests are machine learning and evolutionary computation, including interdisciplinary applications in the areas of remote sensing and bioinformatics. She is an associate editor at ACM Transactions on Evolutionary Learning and Optimization, Swarm and Evolutionary Computation, and Genetic Programming and Evolvable Machines. In 2018 she received the Evo* Award for Outstanding Contribution to Evolutionary Computation in Europe. She created the MATLAB Genetic Programming Toolbox (GPLAB).
Luís Paquete, Editor-in-Chief
University of Coimbra, Portugal | webpage
Luís Paquete is Associate Professor at the Department of Informatics Engineering, University of Coimbra, Portugal. He received his Ph.D. in Computer Science from T.U. Darmstadt, Germany, in 2005 and a M.S. in Systems Engineering and Computer Science from the University of Algarve, Portugal, in 2001. His research interest is mainly focused on exact and heuristic solution methods for multiobjective combinatorial optimization problems. He is in editorial board of Operations Research Perspectives and Area Editor at ACM Transactions on Evolutionary Learning and Optimization.
Leonardo Vanneschi, Local Chair
NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal | webpage
Leonardo Vanneschi is a Full Professor at NOVA IMS. His main research interests involve Machine Learning, Data Science, Complex Systems, and in particular Evolutionary Computation. His work can be broadly partitioned into theoretical studies on the foundations of Evolutionary Computation, and applicative work. The former covers the study of the principles of functioning of Evolutionary Algorithms, with the final objective of developing strategies to outperform the existing techniques. The latter covers several different fields among which computational biology, image processing, personalized medicine, engineering, logistics, economics and marketing. In 2015, he received the Evo* Award for Outstanding Contribution to Evolutionary Computation in Europe. In 2020, he was included in the list of the 2% best researchers in the world, both for the year 2019 and for the entire carreer, according to a study of the Stanford University.
Peter A. N. Bosman, Business Committee
Centre for Mathematics and Computer Science, The Netherlands | webpage
Peter Bosman is a senior researcher in the Life Sciences research group at the Centrum Wiskunde & Informatica (CWI) (Centre for Mathematics and Computer Science) located in Amsterdam, the Netherlands. Peter obtained both his MSc and PhD degrees on the design and application of estimation-of-distribution algorithms (EDAs). He has (co-)authored over 150 refereed publications on both algorithmic design aspects and real-world applications of evolutionary algorithms. At the GECCO conference, Peter has previously been track (co-)chair, late-breaking-papers chair, (co-)workshop organizer, (co-)local chair (2013) and general chair (2017).
Anne Auger, Business Committee
Inria, France | webpage
Anne Auger is a research director at the French National Institute for Research in Computer Science and Control (Inria) heading the RandOpt team. She received her diploma (2001) and PhD (2004) in mathematics from the Paris VI University. Before to join INRIA, she worked for two years (2004-2006) at ETH in Zurich. Her main research interest is stochastic continuous optimization including theoretical aspects, algorithm designs and benchmarking. She is a member of ACM-SIGECO executive committee and of the editorial board of Evolutionary Computation. She has been General chair of GECCO in 2019. She has been organizing the biannual Dagstuhl seminar """"Theory of Evolutionary Algorithms"""" in 2008 and 2010 and all seven previous BBOB workshops at GECCO since 2009. She is co-organzing the forthcoming Dagstuhl seminar on benchmarking.