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Steve Brunton is an Assistant Professor in the Department of Mechanical Engineering at the University of Washington. He is also a Data Science Fellow at the eScience Institute and holds the position of Boeing Professor of AI and Data-Driven Engineering. His research focuses on the integration of machine learning techniques and data-driven discovery to control complex dynamical systems. Notably, his work explores low-rank coherent patterns within high-dimensional data to enhance sparse measurements and optimize sensor placement and control. His applications range across fluid dynamics, including closed-loop turbulence control, bio-locomotion, and renewable energy, as well as areas such as neuroscience, medical data analysis, and optical systems.
University of Washington • Seattle, WA
Teaching and conducting research in the Department of Mechanical Engineering.
University of Washington • Seattle, WA
Engaged in academic teaching and research in the Department of Applied Mathematics.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.