João Gama is a Full Professor at the School of Economics, University of Porto, Portugal. He received his Ph.D. in Computer Science from the University of Porto in 2000. He is EurIA Fellow, IEEE Fellow, Fellow of the Asia-Pacific AI Association, and a member of the board of directors of the LIAAD, a group belonging to INESC TEC. He is ACM Distinguish Speaker. His h-index at Google Scholar is 71. He is the Editor-in-Chief of the Journal of Data Science and Analytics and editor of several top-level Machine Learning and Data Mining journals. He served as Program Chair of ECMLPKDD 2005, DS09, ADMA09, EPIA 2017, DSAA 2017, served as Conference Chair of IDA 2011, ECMLPKDD 2015, DSAA’2021, and a series of Workshops on KDDS and Knowledge Discovery from Sensor Data with ACM SIGKDD. His main research interests are knowledge discovery from data streams, evolving network data, probabilistic reasoning, and causality. He published more than 300 peer-reviewed papers in journals and major conferences. He has an extensive list of publications in data stream learning.