The Data Theory Seminar is jointly run by UCLA’s Departments of Statistics & Data Science and Mathematics.
We invite world-leading researchers to deepen the mathematical and statistical foundations of modern data science.
Date: 11am - 12pm, Mar. 26, 2026
Speaker: Yonina Eldar, Northeastern University
Location: Center for health science building 43-105
Title: Model-Based Deep Learning for Sensing and Imaging: Efficient and Interpretable AI
Bio: Yonina Eldar is the Aoun Chair Professor of Electrical and Computer Engineering at Northeastern University and the Dorothy and Patrick Gorman Professorial Chair of Mathematics and Computer Science at the Weizmann Institute where she founded and heads the Signal Acquisition Modeling Processing and Learning Lab (SAMPL) and the Center for Biomedical Engineering. She is also a Visiting Professor at MIT and Princeton, a Visiting Scientist at the Broad Institute, and an Adjunct Professor at Duke University and was a Visiting Professor at Stanford. She is a member of the Israel Academy of Sciences and Humanities and of the Academia Europaea, an IEEE Fellow and a EURASIP Fellow. She received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering from Tel-Aviv University, and the Ph.D. degree in electrical engineering and computer science from MIT. She has received many awards for excellence in research and teaching, including the Israel Prize (2025), Landau Prize (2024), IEEE Signal Processing Society Technical Achievement Award (2013), the IEEE/AESS Fred Nathanson Memorial Radar Award (2014) and the IEEE Kiyo Tomiyasu Award (2016). She received the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, the Wolf Foundation Krill Prize for Excellence in Scientific Research, the Henry Taub Prize for Excellence in Research (twice), the Hershel Rich Innovation Award (three times), and the Award for Women with Distinguished Contributions. She was selected as one of the 50 most influential women in Israel, and was a member of the Israel Committee for Higher Education. She is the Editor in Chief of Foundations and Trends in Signal Processing, a member of several IEEE Technical Committees and Award Committees, and heads the Committee for Promoting Gender Fairness in Higher Education Institutions in Israel.
Date: 11am - 12pm, Mar. 31, 2026
Speaker: Andrew Stuart, Caltech
Location: Center for health science building 73-105
Title: Processing Language, Images and Other Data Modalities
Bio: Andrew Stuart obtained his undergraduate degree in Mathematics, from Bristol University in 1983, his PhD from the Oxford University Computing Laboratory in 1987 and was then a postdoc at MIT in the period 1987--1989. Before joining Caltech he held permanent positions at Bath University (1989--1992), Stanford University (1992--1999) and Warwick University (1999--2016). His research interests focus on computational applied mathematics; recent interests focus on challenges presented in this age of information, such as the integration of data with mathematical models and the mathematics of machine learning.
He was elected an inaugural SIAM Fellow in 2009. He delivered invited lectures at the International Congress of Industrial and Applied Mathematics (ICIAM) in 2007 and 2023, at the European Congress of Mathematicians (ECM) in 2012 and at the International Congress of Mathematicians (ICM) in 2014. He was elected a Fellow of The Royal Society in 2020 and selected as a Department of Defense Vannevar Bush Faculty Fellow in 2022.