Andrew Stuart is Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology, a position he has held since 2016. Previously he held permanent positions at the University of Bath, Stanford University and Warwick University.
Andrew’s research is in applied and computational mathematics. His interests center on the study of algorithms which use data to inform predictive mathematical models, with applications in the physical, biomedical and social sciences. The research forges links between applied mathematics and statistics, and draws on emerging methodologies in machine learning. His research achievements include the development of a mathematical framework for the Bayesian formulation of inverse problems, and the analysis and design of Markov chain Monte Carlo methods and ensemble Kalman methods for the solution of these inverse problems.
Andrew is a recipient of The Whitehead Prize from The London Mathematical Society, the Monroe Martin Prize from the Institute for Physical Science and Technology, and the Crawford, Dahlquist and Wilkinson Prizes from the Society for Industrial and Applied Mathematics (SIAM); Andrew was made an inaugural SIAM Fellow in 2009. He has delivered invited lectures in numerous fora, including ICIAM 2007 (Zurich) and ICM 2014 (Seoul).
Bren Professor of Applied and Computational Mathematics, Department of Computing and Mathematical Sciences, California Institute of Technology