Stephen Boyd
Professor of electrical engineering, Stanford University
Stephen Boyd is Professor of Electrical Engineering at Stanford University. He received the A.B. degree in Mathematics from Harvard University in 1980, and the Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, in 1985, and then joined the faculty at Stanford.
His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance. He is the author of numerous highly cited research articles, three books, and several open-source tools.
Stephen Boyd is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the National Academy of Engineering. He received many awards for his teaching and research, including the IEEE Control Systems Award, the IEEE James H. Mulligan, Jr. Education Medal and the Mathematical Optimization Society’s Beale-Orchard-Hays Award.
Peter Bühlmann
Professor of mathematics and statistics, ETH Zürich
Peter Bühlmann is Professor of Mathematics and Statistics, and currently Chair of the Department of Mathematics at ETH Zürich. He received his doctoral degree in mathematics in 1993 from ETH Zürich. After having spent three years at UC Berkeley, he returned to ETH Zürich in 1997.
His main research interests are in high-dimensional and computational statistics, machine learning, causal inference and applications in the bio-medical field. He has been a highly cited researcher in mathematics in the last few years.
Peter Bühlmann is Fellow of the IMS, the ASA and recipient of several awards including the Winton Research Prize. He served as Co-Editor of the prestigious Annals of Statistics during 2010-2012 and has guided 29 doctoral students to date.