Professor Contact Information kutz@uw.edu (206) 685-3029 LEW 118 Personal Website Fields of Interest Data Science Machine Learning Mathematical Neuroscience Nonlinear Waves and Coherent Structures Optics Reduced-Order Models Research Selected Research J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, and Joshua Proctor (2016). Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems. SIAM. J. Nathan Kutz. (2013) Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data. Oxford University Press. Courses Taught Autumn 2024AMATH 481 A: Scientific Computing AMATH 500 D: Special Studies in Applied Mathematics AMATH 581 A: Scientific Computing AMATH 581 B: Scientific Computing AMATH 581 D: Scientific Computing AMATH 581 E: Scientific Computing Winter 2023AMATH 500 G: Special Studies in Applied Mathematics AMATH 568 A: Advanced Methods for Ordinary Differential Equations AMATH 568 B: Advanced Methods for Ordinary Differential Equations AMATH 568 C: Advanced Methods for Ordinary Differential Equations Autumn 2022AMATH 500 D: Special Studies in Applied Mathematics Spring 2022AMATH 500 C: Special Studies in Applied Mathematics Winter 2022AMATH 500 G: Special Studies in Applied Mathematics Related News Related News Professor Nathan Kutz elected SIAM fellow (April 1, 2022) Professors Kutz and Brunton to head new UW-led AI Institute for Dynamic Systems (July 31, 2021) In the Pursuit of Applying Knowledge (August 25, 2016)
