The Society for Industrial and Applied Mathematics (SIAM) has announced the 2022 Class of SIAM Fellows. Twenty-six esteemed members of the SIAM community were nominated by their peers and chosen for their exemplary research as well as outstanding service to the community. We would like to congratulate the following IPAM affiliates who are among the nominees:

Sharon F. Arroyo (The Boeing Company), speaker for IPAM’s 2021 workshop, Deep Learning and Combinational Optimization.

Weizhu Bao (National University of Singapore), speaker for numerous IPAM programs including the 2012 workshop, Computational Methods for Multiscale Modeling of Materials Defects

Abba Gumel (Arizona State University), speaker for IPAM’s 2020 workshop, Mathematical Models in Understanding COVID-19. 

Eldad Haber (The University of British Columbia), speaker for numerous IPAM programs and core participant for IPAM’s 2020 long program, High Dimensional Hamilton-Jacobi PDEs. 

Lek-Hang Lim (University of Chicago), speaker for numerous IPAM programs and core participant for IPAM’s 2021 long program, Tensor Methods and Emerging Applications to the Physical and Data Sciences.

Daniel Kressner (Ecole Polytechnique Fédérale de Lausanne), speaker for IPAM’s 2021 workshop, Tensor Methods and their Application in the Physical and Data Science.

Jose Nathan Kutz (University of Washington), speaker for numerous IPAM programs including the 2019 workshop, Interpretable Learning in Physical Science.

Peter B. Monk (University of Delaware), speaker for IPAM’s 2010 workshop, Metamaterials: Applications, Analysis and Modeling. 

Houman Owhadi (California Institute of Technology), speaker for numerous IPAM programs and core participant for IPAM’s 2020 long program, High Dimensional Hamilton-Jacobi PDEs.

Keith Promislow (Michigan State University), speaker for numerous IPAM programs including the 2020 workshop, Mathematical Models in Understanding COVID-19. 

Leonard Schulman (California Institute of Technology), speaker for IPAM’s 2009 workshop, Quantitative and Computational Aspects of Metric Geometry.

Amit Singer (Princeton University), speaker for numerous IPAM programs including the 2019 workshop, Geometry of Big Data.

Gabriele Steidl (Technische Universität Berlin), core participant for IPAM’s 2019 long program, Geometry and Learning from Data in 3D and Beyond.

Hongkai Zhao (Duke University), speaker for numerous IPAM programs and core participant for IPAM’s 2019 long program, Geometry and Learning from Data in 3D and Beyond.

Siam Press Release