School of Engineering
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Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering
BioBenjamin Van Roy is a Professor of Electrical Engineering, Management Science and Engineering, and, by courtesy, Computer Science, at Stanford University, where he has served on the faculty since 1998. His research focuses on understanding how an agent interacting with a poorly understood environment can learn over time to make effective decisions. He is interested in questions concerning what is possible or impossible as well as how to design efficient learning algorithms that achieve the possible. His research contributes to the fields of reinforcement learning, online optimization, and approximate dynamic programming, and offers means to addressing central problems of artificial intelligence.
He has graduated fifteen doctoral students, published over forty articles in peer-reviewed journals, and been listed as an inventor in over a dozen patents. He has served on the editorial boards of Machine Learning, Mathematics of Operations Research, and Operations Research, for which he has also served as editor of the Financial Engineering Area. He has also founded and/or led research programs at several technology companies, including Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, and the Management Science and Engineering Department's Graduate Teaching Award. He is an INFORMS Fellow and has been a Frederick E. Terman Fellow and a David Morgenthaler II Faculty Scholar. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe and as the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University.
Professor of Electrical Engineering and, by courtesy, of Applied Physics
Current Research and Scholarly InterestsPhotonics, quantum information, nonlinear optics, cavity QED, inverse design
Ph.D. Student in Bioengineering, admitted Autumn 2014
Grader for EE278. Autumn 2018-19., Electrical Engineering - Student Services
BioHow does the brain prepare and execute movements from as simple as reaching for a cup of coffee to performing a perfectly synchronized dive? Which computational principles does the brain use to help us learn new motor skills? Do these insights enable development of next-generation medical devices that can help people with movement disorders? To study these questions, I apply techniques from statistical signal processing, machine learning, and dynamical system theory to uncover computational motifs that underlie motor control and learning.
Please visit my website for up-to-date details about my research and publications: