José Nathan Kutz is the Robert Bolles and Yasuko Endo Professor within the Department of Applied Mathematics at the University of Washington in Seattle. His main research interests involve non-linear waves and coherent structures (especially in fiber lasers), as well as dimensionality reduction and data-analysis techniques for complex systems.[1]
He graduated from the University of Washington with a B.S. in 1990,[1] and obtained his PhD in 1994 at Northwestern University, supervised by William L. Kath.[2]
He is the author of the book Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data (Oxford Univ. Press, 2013). He also delivers on a regular basis Scientific Computing and Computational Methods for Data Analysis as Massive Open Online Courses (MOOCs) in the Coursera platform.
He was elected as a Fellow of the Society for Industrial and Applied Mathematics, in the 2022 Class of SIAM Fellows, "for contributions to applied dynamical systems, machine learning, and nonlinear optics".[3]
References
edit- ^ a b Curriculum vitae, retrieved 2015-04-27.
- ^ J. Nathan Kutz at the Mathematics Genealogy Project
- ^ "SIAM Announces Class of 2022 Fellows". SIAM News. March 31, 2022. Archived from the original on 2022-04-13. Retrieved 2022-03-31.
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