Uploaded January 2025 | Updated September 2026, 3 weeks ago
The BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies goes in this seventeenth edition to Anil Jain (Michigan State University, United States) and Michael I. Jordan (University of California, Berkeley, United States, and National Institute for Research in Digital Science and Technology, INRIA, Paris, France) for what the committee calls their “core contributions” to machine learning, which have unlocked “applications of far-reaching impact on society as a whole.”
Michael I. Jordan (Aberdeen, Maryland, United States, 1956) holds a master’s degree in Mathematics (Statistics) from Arizona State University (1980) and a PhD in Cognitive Science from the University of California, San Diego (1985). His career has largely been spent at the Massachusetts Institute of Technology (1988-1998), where he was a professor in the Department of Brain and Cognitive Sciences, and, latterly, at the University of California, Berkeley, where he has been Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and in the Department of Statistics and is currently Emeritus Professor. He is also a Senior Researcher at the National Institute for Research in Digital Science and Technology (INRIA) in Paris (France), where he heads the Markets and Machine Learning chair at the INRIA Foundation. Author of over 230 publications in scientific journals, he has served as president of the International Society for Bayesian Analysis and on the editorial boards of journals including Statistics and Computing and Stochastic Analysis and Applications.
Discover more: frontiersofknowledgeawards-fbbva.es/noticias/frontiers-of-knowledge-award-17th-edition-information-communication-technologies
The BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies goes in this seventeenth edition to Anil Jain (Michigan State University, United States) and Michael I. Jordan (University of California, Berkeley, United States, and National Institute for Research in Digital Science and Technology, INRIA, Paris, France) for what the committee calls their “core contributions” to machine learning, which have unlocked “applications of far-reaching impact on society as a whole.”
Michael I. Jordan (Aberdeen, Maryland, United States, 1956) holds a master’s degree in Mathematics (Statistics) from Arizona State University (1980) and a PhD in Cognitive Science from the University of California, San Diego (1985). His career has largely been spent at the Massachusetts Institute of Technology (1988-1998), where he was a professor in the Department of Brain and Cognitive Sciences, and, latterly, at the University of California, Berkeley, where he has been Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and in the Department of Statistics and is currently Emeritus Professor. He is also a Senior Researcher at the National Institute for Research in Digital Science and Technology (INRIA) in Paris (France), where he heads the Markets and Machine Learning chair at the INRIA Foundation. Author of over 230 publications in scientific journals, he has served as president of the International Society for Bayesian Analysis and on the editorial boards of journals including Statistics and Computing and Stochastic Analysis and Applications.
Discover more: frontiersofknowledgeawards-fbbva.es/noticias/frontiers-of-knowledge-award-17th-edition-information-communication-technologies
