IEEE Fellow (2015), O. Hugo Schuck Best Paper Award (2013), Presidential Early Career Awards for Scientists and Engineers (PECASE) (2007), George S. Axelby Outstanding Paper Award (2007), NSF Career award (2007), National Academy of Engineering's Frontiers of Engineering Program (2007), Vance D. and Arlene C. Coffman Faculty Scholar (2007), Graduate service recognition award, Stanford University (2005). Author of over 130 peer-refereed publications.
Research Experience
Director in the Autonomous Systems Group at Apple from 2018 to 2019; currently a visiting researcher and director at Google; has worked on projects including satellite systems, advanced audio systems, Formula 1 racing, the America's cup, cloud services monitoring, and integrated circuit diagnostic systems.
Education
Received a B.A. degree in Mathematics with first-class honors in 1990 and a Ph.D. degree in Engineering in 1995, both from the University of Cambridge, England.
Background
Professor of Electrical Engineering at Stanford University, focusing on algorithms for control, optimization, and machine learning. Before joining Stanford, he was a Research Fellow at the California Institute of Technology in the Department of Control and Dynamical Systems, and a NATO Research Fellow at Massachusetts Institute of Technology, in the Laboratory for Information and Decision Systems.
Miscellany
Courses taught: EE104 Introduction to Machine Learning, EE263 Introduction to Linear Dynamical Systems, EE266 Stochastic Control, EE364a Convex Optimization I, EE464 Semidefinite Optimization and Algebraic Techniques, Engr207b Stochastic Estimation and Kalman Filtering, Engr207c Operator Theory and Linear Systems, Engr210a Robust Control Analysis and Synthesis.