Michael J. Black

Michael J. Black is a renowned computer vision researcher specializing in articulated 3D human motion pose estimation, human body shape estimation, motion capture, optical flow, 3D scene structure estimation, and machine learning in computer vision. His work finds applications in body shape modeling for apparel, fashion, fitness, medicine, CAD, games, and special effects.

Michael's educational background includes a Ph.D. in Computer Science from Yale University, an M.S. in Computer Science from Stanford University, and a B.Sc. in Computer Science from The University of British Columbia.

Throughout his career, Michael J. Black has held various prestigious positions including Director at Max Planck Institute for Intelligent Systems, Spokesperson at Cyber Valley, Distinguished Amazon Scholar at Amazon, Honorarprofessor at Eberhard Karls Universität Tübingen, Department of Computer Science, Adjunct Professor at Brown University Department of Computer Science, and Visiting Professor at ETH Zurich.

Additionally, Michael has served as Co-founder, Science Advisor, and Board member at Body Labs Inc., Visiting Professor of Electrical Engineering at Stanford University, Professor at Brown University, Consultant at Intel Corporation, Associate Professor at Brown University, Visiting Scientist at Royal Institute of Technology (KTH), Area Manager at Xerox PARC, Member of Research Staff II at Xerox PARC, Assistant Professor (non-tenure track) at the University of Toronto, Visiting Researcher at NASA Ames Research Center, Computer Scientist at Advanced Decision Systems, and Engineer at GTE Government Systems.