|
Bin Yu is Professor of Statistics, and Electrical Engineering & Computer Science, at University of California Berkeley. She is Chancellor's Professor in Statistics from 2006 to 2011. Her current research interests include statistical inference, machine learning, information theory (Minimum Description Length Principle), as well as data modeling in areas such as remote sensing, internet tomography, sensor networks, neuroscience, bioinformatics, and finance. She received her B.S. degree in Mathematics from Peking University in 1984, M.S. and Ph.D. degrees in Statistics from the University of California at Berkeley in 1987 and 1990 respectively. Her doctoral research was on empirical processes for dependent data and Minimum Description Length (MDL) Principle. She was an Assistant Professor of Statistics at the University of Wisconsin at Madison from 1990 to 1993, a Postdoctoral Fellow at the Mathematical Science Research Institute at Berkeley in Fall 1991, and a Visiting Assistant Professor of Statistics at Yale University in Spring 1993. From 1992 to 1997, and 1997-2001, she was Assistant Professor, and Associate Professor, of Statistics at Berkeley. For 1998-2000, she was Member of Technical Staff at the Math Center, Bell Labs, Lucent Technologies. Bin Yu was in the S. S. Chern Mathematics Exchange Program between China and the U.S. in 1985, a recipient of George Martin Fellowship and Anthony Fellowship, a recipient of the Evelyn Fix Memorial Medal and Citation, and a recipient of a Junior Faculty Award and a Career Development Award, all at University of California at Berkeley. She was an IMS Special Invited Lecturer (now Medallion Lecturer) in 1999. In 2006 she was awarded a Guggenheim Fellowship and 2006 Best Paper Award of the IEEE Signal Processing Society. Bin Yu is an elected Fellow of IEEE, The Institute of Mathematical Statistics (IMS) and ASA (American Statistical Association). In Spring 2004, She was a Miller Research Professor, Miller Institute, UC Berkeley. She is an Associate Editor for The Annals of Statistics, Journal of American Statistical Association (JASA), and Statistica Sinica, an Action Editor for the Journal of Machine Learning Research (JMLR). She served on the Board of IEEE Information Theory Society (two terms) and on the Council of IMS (one term). She is the co-editor of a special issue on bioinformatics by Statistica Sinica in 2002, and a co-editor of a special issue on machine learning for IEEE Trans. Signal Processing in 2003. She was the program Chair for the Graybill conference on Statistics and Information Technology, Fort Collins, CO, 2005 and the IMS program chair for the joint meetnig of IMS and CSPS (Chinese Society of Probability and Statistics) in Beijing, 2005. She holds a Changjiang Chair Professorship at Peking University and is the founding co-director of the Microsoft Lab on Statistics and Information Technology at Peking University. |
Last Modified 12/23/2006