Georg Stadler is a Professor of Mathematics and Computer  Science at New York
University's Courant Institute of Mathematical Sciences. Before that,
he was a member of UT Austin's Oden Insitute for Computational
Engineering and Sciences, initially as a postdoc and later as research
scientist and lecturer. He received a PhD in Mathematics from the
University of Graz (Austria) in 2004 with a thesis on semismooth
Newton methods for contact and friction problems under supervision of
Karl Kunisch.

His research interests are in computational inverse problems and
uncertainty quantification, PDE-constrained optimization and parallel
algorithms and solvers. This research is commonly driven by real-world
applications such as the simulation and inversion of mantle flows, the
dynamics of ice sheets, or wave problems. He received the
Young Scientist ASCINA Award from the Austrian government in 2011, and
is co-recipient of the Springer CSE Prize in the same year. He was a
finalist for the Gordon Bell Prize in Supercomputing in '08, '10 and
'12 and a co-recipient of the Bell Prize in 2015 for illustrating
extreme scalability of implicit solvers for problems arising from
nonlinear and highly heterogeneous indefinite PDE systems.  He also
received the 2019 SIAM Computational Science & Engineering Best Paper
Prize.