Plenary Speakers


Satyan Devadoss is the Fletcher Jones Professor of Applied Mathematics and Professor of Computer Science at the University of San Diego. He was faculty at Williams for nearly 15 years, holding visiting positions at UC Berkeley, UC San Diego, Ohio State, Harvey Mudd, MSRI, and Stanford. Fellow of the AMS, and recipient of two national teaching awards from the MAA, his thoughts have appeared in venues such as NPR, the Washington Post, the Times of London, the Chicago Tribune, and the Los Angeles Times. Author of over 50 articles and books, his works focus on geometry and its applications, from origami and cartography to sonnets and sculptures. Over the years, he has been generously supported by the NSF, the Templeton Foundation, the Mellon Foundation, the Fletcher Jones Foundation, and DARPA.



Wilfrid Gangbo is a Professor of Mathematics at the University of California, Los Angeles and a member of the American Academy of Arts and Sciences (AAAS). He is also a fellow of the American Mathematical Society (AMS). His areas of research are the calculus of variations and partial differential equations. He was awarded the 2018-19 Chancellor Professorship, by the mathematics department of the University of California, Berkeley. Dr. Gangbo delivered numerous plenary talks and was a distinguished speaker in many colloquia all over the United States, Europe, Asia and Africa. He has supervised the dissertations of over ten students and mentored over twelve postdocs. He has been associate editor for several international journals and served on the advisory boards of various institutions. Gangbo was a program director at the National Science Foundation (NSF) in Arlington, VA, from 2012 to 2013 and the graduate vice chair in the department of mathematics at UCLA from 2018 to 2021. With Professors. J. Nelson and T. Coleman, they launched the David Blackwell Summer Research Institute in 2021. This is a six week elite research program for undergraduate students, which aims to honor Blackwell's legacy by attempting to increase the number of students who aspire to achieve his level of excellence and widen participation of African-Americans in obtaining PhDs in mathematics.

Research Interests: Calculus of Variations; Nonlinear Analysis; Partial Differential Equations; Kinetic Theory; Functional Analysis; Fluid Mechanics



Uduak Z. George is an Associate Professor in the Department of Mathematics and Statistics at San Diego State University (SDSU). She completed her PhD in Mathematics at the University of Sussex, England, United Kingdom. Dr. George has received the NSF CAREER Award, the National Institutes of Health’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) fellowship and the SDSU’s Presidential Research Fellow Award. 

George’s research interest includes multiscale systems biology, computational mathematics, artificial intelligence/machine learning, tissue morphogenesis and cancer health equity.



Matthias is an Associate Professor at the Institute of Geophysics and Planetary Physics at the Scripps Institution of Oceanography, UC San Diego. He earned a “Diplom” in Mechanical Engineering from Technical University Darmstadt (Germany) and a Ph.D. in Mechanical Engineering from UC Berkeley. Prior to joining UCSD, Matthias was a postdoc at UC Berkeley (Mathematics) and at the Lawrence Berkeley National Laboratory (Math Group). He was Assistant Professor of Mathematics at the University of Arizona from 2015-2019. Matthias is a 2016 Alfred P. Sloan Research Fellow (Mathematics), and a frequent visitor to the Institute de Physique du Globe de Paris.

Matthias’ research interest is in the numerical analysis of algorithms that merge computational models with geophysical data. He has worked on performance bounds for particle filters/sequential Monte Carlo, has studied scalability of Markov chain Monte Carlo, and improved our mathematical understanding of ensemble Kalman filters. Application areas include atmospheric forecasting, the geomagnetic field, electromagnetic inversions and large-scale image deblurring.