Andrew Stuart

Andrew Stuart is the Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology (Caltech), joining in 2016. He previously held faculty positions at the University of Warwick (1999–2016), Stanford University (1992–1999), and Bath University (1989–1992). He earned his PhD from the University of Oxford's Computing Laboratory in 1986.

Professor Stuart's research focuses on applied and computational mathematics, particularly Bayesian inverse problems, data assimilation for dynamical systems, and stochastic modeling. His work bridges mathematical theory, algorithm development, and applications in geophysics, materials science, and biological systems.

His recent publications emphasize operator learning, machine learning for PDEs, and uncertainty quantification. Key areas include ensemble Kalman methods, Gaussian processes, and neural operators for solving and learning from complex systems.

Scientific awards include the Vannevar Bush Faculty Fellowship and election to the Royal Society of Great Britain. He advises graduate students in applied mathematics, computational science, and geophysics, including Edoardo Calvello, Hojjat Kaveh, and Florian Wolf.