University of Illinois

Department of Electrical and Computer Engineering

Neuroscience Program

Todd P. Coleman

Assistant Professor

Biography

Todd P. Coleman received the B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan, Ann Arbor, in 2000, along with the M.S. and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge, in 2002, and 2005. During the 2005-2006 academic year, he was a postdoctoral scholar at MIT and Massachusetts General Hospital in computational neuroscience.  Since the fall of 2006, he has been on the faculty in the ECE Department and Neuroscience Program at UIUC.

His research interests include information theory, operations research, and computational neuroscience. Dr. Coleman, a National Science Foundation Graduate Research Fellowship recipient, was awarded the University of Michigan College of Engineering’s Hugh Rumler Senior Class Prize in 1999 and was awarded the MIT EECS Department’s Morris J. Levin Award for Best Masterworks Oral Thesis Presentation in 2002.   In Fall 2008, he was a co-recipient of the University of Illinois College of Engineering’s Grainger Award in Emerging Technologies for development of a novel, practical timing-based technology.

Education

· Postdoctoral Scholar, Brain and Cognitive Sciences , MIT and  Neuroscience Statistics Research Laboratory , Massachusetts General Hospital, 2005-2006 

· Principle Investigator: Prof. Emery Brown

· Ph.D., Electrical Engineering,  MIT, 2005

· Ph.D. thesis advisor: Prof. Muriel Médard

· M.S., Electrical Engineering, MIT, 2002

· B.S., Electrical Engineering, University of Michigan, 2000

· B.S., Computer Engineering, University of Michigan, 2000

Affiliations on Campus

· Department of Electrical and Computer Engineering

· Neuroscience Program

· Coordinated Science Laboratory

· Beckman Institute

· Department of Statistics

· Information Trust Institute

· Illinois Center for Wireless Systems