Dr. Georg Stadler

Biography

Georg Stadler is a professor in the Department of Mathematics at New York University, specializing in mathematical research that focuses on solvers for large-scale partial differential equation (PDE) systems and uncertainty quantification. He has made significant contributions to scientific computing and scientific machine learning, with particular emphasis on Bayesian inverse problems, extreme event probability estimation, and PDE-constrained optimization. His work aims at solving complex optimization problems that are challenged by uncertainty. Additionally, Stadler is engaged in applications that hold societal importance, particularly in the domains of climate science—such as sea and land ice interactions and tsunami modeling—plasma physics focusing on fusion energy, and computational earth science related to mantle flow and plate tectonics. He earned his Ph.D. in Mathematics from the University of Graz, Austria, in 2004, and has a solid academic background with master's degrees in Mathematics and Mathematics Geometry Education from the same institution in 2001.

Research Interests