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J. Nathan Kutz

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

  1. ^ a b Curriculum vitae, retrieved 2015-04-27.
  2. ^ J. Nathan Kutz at the Mathematics Genealogy Project
  3. ^ "SIAM Announces Class of 2022 Fellows". SIAM News. March 31, 2022. Retrieved 2022-03-31.


nathan, kutz, josé, nathan, kutz, robert, bolles, yasuko, endo, professor, within, department, applied, mathematics, university, washington, seattle, main, research, interests, involve, linear, waves, coherent, structures, especially, fiber, lasers, well, dime. Jose 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 amp Scientific Computation Methods for Complex Systems amp 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 Retrieved 2022 03 31 nbsp nbsp nbsp This article about an American mathematician is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title J Nathan Kutz amp oldid 1080604184, wikipedia, wiki, book, books, library,

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