April 27, 2022
Staff Accomplishment

Kutz Selected as Society for Industrial and Applied Mathematics Fellow

Kutz is one of 26 mathematicians and computer scientists to be selected this year

Headshot of Nathan Kutz

Pacific Northwest National Laboratory dual appointee Nathan Kutz is one of 26 mathematicians and computer scientists to be selected as a Society for Industrial and Applied Mathematics Fellow in 2022.

(Composite image by Cortland Johnson | Pacific Northwest National Laboratory)

Pacific Northwest National Laboratory (PNNL) dual appointee Nathan Kutz was selected as a 2022 Society for Industrial and Applied Mathematics (SIAM) Fellow. He is one of 26 mathematicians and computer scientists to be selected.

The SIAM Fellowship recognizes exemplary research and dedication to serving the mathematics and computational science community. The 2022 SIAM Fellows represent an international cohort of researchers from academia, industry, and government. Kutz was specifically recognized for his “contributions to applied dynamical systems, machine learning, and nonlinear optics.”

“My overall success has been largely due to my amazing collaborators who have helped innovate ideas that can move forward science and engineering applications,” said Kutz. “I am indebted to collaborations from PNNL that drive forward ideas in emerging scientific machine learning methods; they are proving to be instrumental to solving the most pressing and important problems to our country. I look forward to continuing this effort with the amazing people from PNNL.”

Kutz has a dual appointment with the Computational Mathematics group in the Advanced Computing, Mathematics, and Data Division at PNNL. He is also the Robert Bolles and Yasuko Endo Professor and Chair of the Department of Applied Mathematics at the University of Washington.

“This is a well-deserved honor for Nathan Kutz who has been at the forefront of scientific machine learning, which bridges techniques from scientific computing with recent advances in data science,” said Panos Stinis, group leader of the Computational Mathematics group. “We at PNNL are excited to continue our collaboration with Nathan.”