Data Science Fellow, eScience Institute
- (206) 221-0372
- MEB 305
- Brunton Lab
- Ph.D. in Mechanical and Aerospace Engineering, Princeton University, 2012
- B.S. in Mathematics, Minor in Control and Dynamical Systems, California Institute of Technology, 2006
- Assistant Professor, Mechanical Engineering, University of Washington, 2014
- Acting Assistant Professor, Applied Mathematics, University of Washington, 2012–2014
Dr. Brunton's research focuses on combining techniques in dimensionality
reduction, sparse sensing, and machine learning for the data-driven
discovery and control of complex dynamical systems. He is also
interested in how low-rank coherent patterns that underlie
high-dimensional data facilitate sparse measurements and optimal sensor
and actuator placement for control. He is developing adaptive
controllers in an equation-free context using machine learning. Specific
applications in fluid dynamics include closed-loop turbulence control
for mixing enhancement, bio-locomotion, and renewable energy. Other
applications include neuroscience, medical data analysis, networked
dynamical systems, and optical systems.
- Brunton, Proctor, Kutz. Discovering governing equations from data by sparse identification of nonlinear dynamical systems. Proceedings of the National Academy of Sciences, 113(15):3932—3937, 2016.
- Kutz, Brunton, Brunton, Proctor. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems. Part of the Other Titles in Applied Mathematics, volume 148, Society for Industrial and Applied Mathematics, 2016.
- Duriez, Brunton, Noack. Machine Learning Control – Taming Nonlinear Dynamics and Turbulence. Part of the Fluid Mechanics and Its Applications book series, volume 116, Springer, 2016.
- Taira, Nair, Brunton. Network structure of two-dimensional isotropic turbulence. Journal of Fluid Mechanics, 795(R2):1—11, 2016.
- Brunton & Noack. Closed-loop turbulence control: Progress and challenges. Applied Mechanics Reviews, 67(5):050801-1—050801-48, 2015.
College of Engineering Awards for ME
Congratulations to Steve Brunton and Keshia Peters on receiving 2017 College of Engineering Awards! Steve Bruton...
Brunton awarded Air Force grant
Congratulations to assistant professor Steve Brunton on receiving an Air Force Office of Scientific Research Young...
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Welcome new faculty
Join us in welcoming new faculty to the ME department and congratulating current faculty on their recent promotions.
ME associate professor Steve Brunton discusses his dynamical systems research and the crucial role that mechanical...
ME faculty wins SIAG/CSE award
ME Associate Professor Steven Brunton won the 2019 SIAM Activity Group on Computational Science and Engineering Early...
Big data and automation
These ME research projects demonstrate how mechanical engineers are expanding future applications of machine learning.