Professor Electrical Engineering and Computer Science, Professor Statistics (by courtesy)
clayscot@umich.edu
Office Information:
EECS Department
University of Michigan
1301 Beal Avenue
Ann Arbor, MI 48109-2122
phone: 734.615.3656
Statistics
About
Clay Scott received his PhD in Electrical Engineering from Rice University in 2004, and joined the University of Michigan in 2006 with a primary appointment in EECS. His research interests focus on statistical machine learning theory and algorithms, with an emphasis on nonparametric methods for supervised and unsupervised learning. He has also worked on a number of applications stemming from various scientific disciplines, including brain imaging, nuclear threat detection, environmental monitoring, and computational biology. In 2010 he received the Career Award from the National Science Foundation.
For a listing of publications, see personal website.
