Steven L. Brunton
Associate Professor of Mechanical Engineering
Adjunct Associate Professor of Applied Mathematics
Data Science Fellow, eScience Institute
University of Washington, Seattle
Ph.D. in Mechanical and Aerospace Engineering,
Princeton University, 2012
B.S. in Mathematics and minor in control and dynamical systems,
California Institute of Technology (Caltech), 2006
email: sbrunton@uw.edu
Current Members
Moore Sloan Postdoctoral Fellow
(2016-present, with J. Nathan Kutz)
PhD 2015, Fluid Dynamics, Universite de Poitiers (Advisor: Bernd Noack)
Thesis: Cluster-based reduced order models
Selected publications:
(2019-present, with Richard Semaan)
Website: www.benjaminherrmann.com
PhD 2018, Fluid Dynamics, University of Chile (Advisor: Williams R. Calderon Munoz)
Modeling synchronization in forced turbulent oscillator flows
Benjamin Herrmann, Philipp Oswald, Richard Semaan, Steven L. Brunton
https://arxiv.org/abs/2001.12000
To appear in Communications Physics, 2020.
Henning Lange
Postdoctoral Fellow
(2019-present, with J. Nathan Kutz)
PhD 2019, Advanced Infrastructure Systems, Carnegie Mellon (Advisor: Mario Bergés)
Thesis: Variational Methods for Energy Systems
Selected publications:
Postdoctoral Fellow
(2019-present, with Nathan Kutz)
PhD 2019, Mathematics, University of California Davis (Advisor: Raissa D’Souza)
Postdoctoral Fellow
(2020-present, with J. Nathan Kutz)
Website: https://www.philenosis.com/
PhD 2020, Complex materials, Stanford University (Advisor: Daniel Tartakovsky)
Thesis: Stochastic and multiscale modeling of complex materials
Selected Publication: Data-Driven Discovery of Coarse-Grained Equations
Urban Fasel
Postdoctoral Fellow
(2020-present)
PhD 2020, Mechanical Engineering, ETH Zurich (Advisor: Paolo Ermanni)
Thesis: Reduced-Order Aeroelastic Modeling of Morphing Wings for Optimization and Control
Selected Publication: Data-driven nonlinear aeroelastic models of morphing wings for control
Acting Instructor
(2020-present, with J. Nathan Kutz)
Website: https://faculty.washington.edu/jbrambur/
PhD 2017, Mathematics, University of Ottawa (Advisor: Dr. Benoit Dionne and Dr. Victor LeBlanc)
Thesis: On the Existence and Stability of Rotating Wave Solutions to Lattice Dynamical Systems
Graduate Students
Chen Gong
PhD student (2016-present) co-advised with Eric Seibel
Ariana Mendible
PhD student (2017-present), co-advised with Nathan Kutz
Isabel Scherl
PhD student (2017-present), co-advised with Brian Polagye
Jared Callaham
PhD student (2017-present)
Kadierdan Kaheman
PhD student (2018-present)
Yuying Liu
PhD student (2018-present), co-advised with Nathan Kutz
Selected publications:
Multiresolution Convolutional Autoencoders (Liu, Ponce, Brunton, Kutz)
Michelle Hickner
PhD student (2019-present) co-advised with Bing Brunton
Dan Shea
PhD student (2018-present) co-advised with Nathan Kutz
Alan Kaptanoglu
PhD student (2019-present)
Kartik Krishna
PhD student (2019-present)
High School Students
Sanya Gupta
Interlake High School, Bellevue, WA
2020-present
Jessica Ruan
Interlake High School, Bellevue, WA
2020-present
Aria Tang
Interlake High School, Bellevue, WA
2020-present
Alumni
Former Postdocs
Next Position: Amazon
Postdoctoral Fellow 2019-2020, Mentors: Steven L. Brunton and J. Nathan Kutz
PhD 2019, Applied Mathematics, University of Washington (Advisors: Steven Brunton and Nathan Kutz)
Thesis: From data to dynamics: discovering governing equations from data
Selected publications:
Data-driven discovery of coordinates and governing equations (Champion, Lusch, Kutz, Brunton)
Next Position: Amazon
Postdoctoral Fellow 2020, Mentors: Steven L. Brunton and J. Nathan Kutz
PhD 2020, Applied Mathematics, University of Washington (Advisors: Steven Brunton and Nathan Kutz)
Thesis: Data-driven discovery and model reduction of complex systems
Selected publications:
Bethany Lusch
Next Position: Argonne National Labs
Postdoctoral Fellow 2016-2018,
Mentors: Steven L. Brunton, J. Nathan Kutz, and Bing W. Brunton
PhD 2016, Applied Mathematics, University of Washington (Advisor: Nathan Kutz)
Thesis: Machine learning and data decompositions for complex networked dynamical systems
Selected publications:
N. Benjamin Erichson
Next Position: Postdoctoral fellow at Berkeley
Postdoctoral fellow 2017-2018
Mentors: J. Nathan Kutz and Steven L. Brunton
PhD 2017, Statistics, St. Andrews (Advisor: Carl Donovan)
Thesis: Randomness as a computational strategy: On matrix and tensor decompositions
Selected publications:
Former Graduate Students
Emily Clark
Next Position: BAE Systems
PhD 2020, Physics, University of Washington
Advisors: Steven L. Brunton and Nathan Kutz
Selected publications:
Greedy Sensor Placement with Cost Constraints (Clark, Askham, Brunton, Kutz)
Brian de Silva
Next Position: Postdoctoral Fellow at UW
PhD 2020, Applied Mathematics, University of Washington
Advisors: Steven L. Brunton and Nathan Kutz
Selected publications:
Thomas Mohren
Next Position: Postdoctoral Fellow at UW
PhD 2020, Mechanical Engineering, University of Washington
Advisors: Steven Brunton and Tom Daniel
Selected publications:
Kathleen Champion
Next Position: Postdoctoral Fellow at UW
PhD 2019, Applied Mathematics, University of Washington
Advisors: Steven L. Brunton and Nathan Kutz
Selected publications:
Data-driven discovery of coordinates and governing equations (Champion, Lusch, Kutz, Brunton)
Sam Rudy
Next Position: NSF Postdoctoral Fellow, MIT
PhD 2019, Applied Mathematics, University of Washington
Advisors: Steven L. Brunton and Nathan Kutz
Selected publications:
Ben Strom
Next Position: Co-Founder XFlow Energy
PhD 2019, Mechanical Engineering, University of Washington
Advisors: Steven L. Brunton and Brian Polagye
Selected publications:
Krithika Manohar
Next Position: NSF Postdoctoral Fellow, Caltech
PhD 2018, Applied Mathematics, University of Washington
Advisors: Steven L. Brunton and J. Nathan Kutz
Selected publications:
Zhe Bai
Next Position: Postdoctoral Fellow, Lawrence Berkeley National Labs
PhD 2018, Mechanical Engineering, University of Washington
Advisor: Steven L. Brunton
Selected publications:
-
Data-driven methods in fluid dynamics: Sparse classification from experimental data (Bai, Brunton, Brunton, Kutz, Kaiser, Spohn, Noack)
Michael Au-Yeung
Next Position: Postdoctoral Fellow, Harvard and Massachussettes General Hospital
PhD 2016, Mechanical Engineering, University of Washington
Advisors: Per Reinhall and Steven L. Brunton
Selected publications:
Next position: PhD student in the Department of Mathematics at the University of British Columbia (w/ Dr. Michael Friedlander)
Graduate student (2020), co-advised with Zhuoyuan Song
Tadbhagya Kumar
Next Position: PhD candidate, University of Florida
Masters Degree 2016, Mechanical Engineering, University of Washington
Advisors: Steve Brunton and Jim Riley
Sudharsan Madhavan
Next Position: PhD candidate, Tufts University
Masters Degree 2015, Mechanical Engineering, University of Washington
Advisors: Steve Brunton and Jim Riley
Selected publications:
Former Undergraduates
Seth Pendergrass
Next Position: Microsoft
Bachelor's Degree 2017, Computer Engineering, University of Washington
Former High School Students
Surtaz Khan
Next position: Yale Undergraduate
High school intern, (2017-2019; Interlake High School, Bellevue, WA)
Christina Yao
Next position: Carnegie Mellon Undergraduate
High school intern, (2019-2020; Interlake High School, Bellevue, WA)
Eric Chen
Next Position: Princeton Undergraduate
High school intern, (2019-2020; Interlake High School, Bellevue, WA)