Steven Brunton

Steven L. Brunton received the B.S. degree in mathematics with a minor in control and dynamical systems from the California Institute of Technology in 2006, and the Ph.D. degree in mechanical and aerospace engineering from Princeton University in 2012. He is currently an assistant professor of mechanical engineering, an adjunct assistant professor of applied mathematics and a data science fellow at the University of Washington.

He was recently awarded the Army and Air Force Young Investigator Program awards for work at the interface of machine learning and control in fluids. He has co-authored two textbooks on data-driven modeling and the use of machine learning for turbulence control, respectively. His research broadly focuses on data-driven dynamical systems and control, with an emphasis on efficient computations, sensor placement optimization, and turbulent fluid flow control.