معرفی
Steve Brunton is the James B. Morrison Endowed Career Development Professor in Mechanical Engineering at the University of Washington, with an adjunct appointment in Applied Mathematics. He leads the Brunton Lab, focusing on data-driven discovery of dynamical systems, machine learning, and control strategies for complex systems. His research integrates techniques like dimensionality reduction, sparse sensing, and adaptive controllers in an equation-free context. Key areas include fluid dynamics (turbulence control, bio-locomotion, renewable energy), neuroscience, medical data analysis, and networked systems.
Education: PhD in Mechanical and Aerospace Engineering (Princeton University, 2012); B.S. in Mathematics (Caltech, 2006).
Awards: APS Fellow (2020) for contributions to fluid dynamics modeling and control.
Publications: Over 100 peer-reviewed articles, including influential works on SINDy (Sparse Identification of Nonlinear Dynamics), PySINDy software, and textbooks like Data-Driven Science and Engineering.
Lab & Teams: The Brunton Lab develops algorithms for scientific computing and control, with applications in aerospace, energy systems, and biomedical engineering.
