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Peter Bartlett is Professor of the Graduate School in Statistics and Computer Science at UC Berkeley, Machine Learning Research Director at the Simons Institute for the Theory of Computing, and Principal Scientist at Google DeepMind. He has served as Associate Director of the Simons Institute at Berkeley, and as Head of Google Research Australia. His research interests include machine learning and statistical learning theory, and he is co-author with Martin Anthony of the book Neural Network Learning: Theoretical Foundations. Awards include the Malcolm McIntosh Prize for Physical Scientist of the Year, IMS Medallion Lecture, Australian Laureate Fellowship, Chancellor's Distinguished Service Award, plenary lecture at the ICM, Fellow of the IMS and of the ACM, and member of the Australian Academy of Science and of the National Academy of Sciences.

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Jianqing Fan, a member of the US National Academy of Sciences, the Royal Academy of Belgium, and Academia Sinica,  is the Frederick L. Moore’18 Professor of Finance, Professor of Operations Research and Financial Engineering, and Former Chairman of the Department of Operations Research and Financial Engineering at Princeton University, where he directs both Financial Econometrics and Statistics and Data Science labs.   He received his Ph.D. from the University of California at Berkeley and held faculty positions at the University of North Carolina at Chapel Hill, University of California at Los Angeles, and the Chinese University of Hong Kong, before joining Princeton University. He is a fellow of the American Association for the Advancement of Science, the Institute of Mathematical Statistics, the American Statistical Association, and the Society of Financial Econometrics. He has served as the president of the Institute of Mathematical Statistics and the International Chinese Statistical Association, and has been a joint editor of the Journal of the American Statistical Association, Annals of Statistics, Probability Theory and Related Fields, Econometrics Journal,  Journal of Econometrics, Journal of Business and Economics Statistics, and Management Science (Finance Department editor). Awards include the COPSS Presidents' Award, the Morningside Gold Medal of Applied Mathematics, the Guggenheim Fellowship, the P.L. Hsu Prize, the Royal Statistical Society Guy medal in silver, the Noether Distinguished Scholar Award, Le Cam Award and Lecture, the Frontiers of Science Award, and the Wald Award and Lecture.  His research interests include high-dimensional statistics, data science, machine learning, deep learning, mathematics of AI, financial economics, and computational biology.  He coauthored 4 books and published over 300 highly cited papers, with a citation of nearly 100,000.

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Nicolai Meinshausen obtained his PhD at ETH Zurich in 2005 before spending two years as postdoc at Berkeley and then seven years as Professor at the University of Oxford. He joined ETH Zurich in 2013 and is currently an honorary fellow at the University of Melbourne. He is an IMS Fellow and was awarded the Guy Medal in Bronze, the Leverhulme Prize and the COPSS Presidents Award. 

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Rebecca Willett is the Worah Family Professor of Statistics and Computer Science in the Wallman Society of Fellows at the University of Chicago. She is the Director of AI at the University of Chicago Data Science Institute, and she holds a courtesy appointment at the Toyota Technological Institute at Chicago (TTIC). Her research is focused on machine learning foundations, scientific machine learning, and signal processing. Willett received the inaugural Data Science Career Prize from the Society of Industrial and Applied Mathematics in 2024, was named a Fellow of the Society of Industrial and Applied Mathematics in 2021, and was named a Fellow of the IEEE in 2022. She is the Deputy Director for Research at the NSF-Simons Foundation National Institute for Theory and Mathematics in Biology, Deputy Director for Research at the NSF-Simons Institute for AI in the Sky (SkAI), and a member of the NSF Institute for the Foundations of Data Science Executive Committee. She is the Faculty Director of the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship. She received the National Science Foundation CAREER Award in 2007 and an Air Force Office of Scientific Research Young Investigator Program award in 2010.