Miguel R. D. Rodrigues (Senior Member, IEEE) received the Licenciatura degree in electrical and computer engineering from the University of Porto, Porto, Portugal, and the Ph.D. degree in electronic and electrical engineering from the University College London (UCL), London, U.K. He is currently a Professor of Information Theory and Processing, UCL, and a Turing Fellow with the Alan Turing Institute - the UK National Institute of Data Science and Artificial Intelligence. His research lies in the general areas of information theory, information processing, and machine learning. His work has led to more than 200 articles in leading journals and conferences in the field, a book on Information-Theoretic Methods in Data Science (Cambridge Univ. Press), and the IEEE Communications and Information Theory Societies Joint Paper Award 2011. He is an Associate Editor for the IEEE TRANSACTIONS ON INFORMATION THEORY, and the IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. He was an Associate Editor for the IEEE COMMUNICATIONS LETTERS, and a Lead Guest Editor of the Special Issue on “Information-Theoretic Methods in Data Acquisition, Analysis, and Processing” of the IEEE JOURNAL ON SELECTED TOPICS IN SIGNAL PROCESSING. He was a Co-Chair of the Technical Programme Committee of the IEEE Information Theory Workshop 2016, Cambridge, U.K. He is a member of the IEEE Signal Processing Society Technical Committee on “Signal Processing Theory and Methods”, and the EURASIP SAT on Signal and Data Analytics for Machine Learning (SiG-DML).