Congratulations to all of the newly minted SIAM Fellows (https://www.siam.org/prizes-recognition/fellows-program/all-siam-fellows/class-of-2022). We would like to acknowledge those in particular who have been members of the SIAM Dynamical Systems Activity Group:

James M. Crowley - https://en.wikipedia.org/wiki/James_Crowley_(mathematician)

Jim recently retired from being the Executive Director of SIAM. Since receiving his PhD in applied mathematics from Brown University, he has also served as a tenured associate professor at the US Air Force Academy, researcher at the Air Force Systems Command, program manager at DARPA, and directorate head at Mathematical and Information Sciences at the Air Force Office of Scientific Research.

James H. Curry - https://www.colorado.edu/amath/james-curry

James is a Professor of Applied Mathematics at the University of Colorado Boulder. Since receiving his PhD in Mathematics from the University of California Berkeley, he has primarily worked at the University of Colorado Boulder, being one of the founding members of the Applied Mathematics department as well as serving as chair for nearly a decade. He has contributed pioneering work in the field of computational dynamics relevant to chaos and bifurcation theory.

Zlatko Drmač - https://web.math.pmf.unizg.hr/~drmac/

Zlatko is a Professor of Mathematics at the University of Zagreb. He obtained his PhD in Mathematics from the University of Zagreb, and after postdocs at FernUniversitaet Hagen, Germany and University of Colorado Boulder, returned there as a tenure track professor in Mathematics. His research specializations include numerical linear algebra, scientific computing, model order reduction, and data-driven analysis. In particular, he has made important contributions to algorithms with high relative accuracy in these areas.

J. Nathan Kutz - https://en.wikipedia.org/wiki/J._Nathan_Kutz

Nathan is the Robert Bolles and Yasuko Endo Professor within the Department of Applied Mathematics at the University of Washington. After obtaining his PhD in applied mathematics at Northwestern University, he did postdocs at the IMA, Bell Labs, and Princeton before starting a tenure track position at University of Washington. His research specializations include numerical methods and scientific computing, data analysis and dimensionality reduction, dynamical systems, and wave propagation theory. His work in the past decade has made important contributions leveraging methods in machine learning to identify nonlinear dynamical systems from data.

Houman Owhadi - http://users.cms.caltech.edu/~owhadi/

Houman is a Professor of Applied & Computational Mathematics and Control & Dynamical Systems at CalTech. After obtaining his PhD in Mathematics at EPFL, he worked for the French Corps of Engineers and as a CNRS Research Fellow before joining the faculty at CalTech. His research areas include game theory for numerical analysis, algorithm design, homogenization, stochastic modeling/analysis, and robustness measure for Bayesian inference and machine learning. In particular, he has made strong contributions to the area of statistical numerical approximation, kernel learning, and uncertainty quantification.

Keith Promislow - https://users.math.msu.edu/users/promislo/

Keith is a Professor and the Chair of Mathematics at Michigan State University. Following his PhD in Applied Mathematics from Indiana University, he was an NSF Postdoc at Penn State and a tenure track professor at Simon Fraser before moving to Michigan State. His research has contributed to the fields of nonlinear waves/optics, multi-phase models for fuel cells, renormalization group dynamics, coherent structures in PDEs, and functional analysis. In particular, he has made strong contributions to rigorous asymptotic reductions, development of novel models and their applications, and service to the applied mathematics community.