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

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

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Graduate Students

Ariana Mendible

PhD student (2017-present), co-advised with Nathan Kutz

Isabel Scherl

PhD student (2017-present), co-advised with Brian Polagye

Kadierdan Kaheman

PhD student (2018-present)

Yuying Liu

PhD student (2018-present), co-advised with Nathan Kutz

Michelle Hickner

PhD student (2019-present) co-advised with Bing Brunton

Dan Shea

PhD student (2018-present) co-advised with Nathan Kutz

Kartik Krishna

PhD student (2019-present)

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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

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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:

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data (de Silva, Champion, Quade, Loiseau, Kutz, Brunton)

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:

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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

Thomas Mohren

Next Position: Postdoctoral Fellow at UW

PhD 2020, Mechanical Engineering, University of Washington

Advisors: Steven Brunton and Tom Daniel

 

Selected publications:

Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data (Mohren, Daniel, Brunton, Brunton)

Kathleen Champion

Next Position: Postdoctoral Fellow at UW

Sam Rudy

Next Position: NSF Postdoctoral Fellow, MIT

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

Zhe Bai

Next Position: Postdoctoral Fellow, Lawrence Berkeley National Labs

PhD 2018, Mechanical Engineering, University of Washington

Advisor: Steven L. Brunton

Selected publications:

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:

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Former Undergraduates

Seth Pendergrass

Next Position: Microsoft

Bachelor's Degree 2017, Computer Engineering, University of Washington

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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)

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