Michael Black received his B.Sc. from the University of British
Columbia (1985), his M.S. from Stanford (1989), and his Ph.D. in
computer science from Yale University in 1992.  He has been a visiting
researcher at the NASA Ames Research Center and an Assistant Professor
in the Dept. of Computer Science at the University of Toronto.  In
1993 Prof. Black joined the Xerox Palo Alto Research Center where he
managed the Image Understanding area and later founded the Digital
Video Analysis group.  In 2000, Prof. Black joined the faculty of
Brown University where he is a Professor of Computer Science.  At
CVPR'91 he received the IEEE Computer Society Outstanding Paper Award
for his work with P. Anandan on robust optical flow estimation.  His
work also received Honorable Mention for the Marr Prize in 1999 (with
David Fleet) and 2005 (with Stefan Roth). Prof. Black's research
interests in machine vision include optical flow estimation, human
motion analysis and probabilistic models of the visual world.  In
computational neuroscience his work focuses on probabilistic models of
the neural code, the neural control of movement and the development
of neural interface systems that directly connect brains and machines to
restore lost function to people with central motor system injury.