Leonid Sigal is a Senior Research Scientist at Disney Research Pittsburgh and an adjunct faculty at Carnegie Mellon University. Prior to this he was a postdoctoral fellow in the Department of Computer Science at University of Toronto. He completed his Ph.D. at Brown University in 2008; he received his B.Sc. degrees in Computer Science and Mathematics from Boston University (1999), his M.A. from Boston University (1999), and his M.S. from Brown University (2003). From 1999 to 2001, he worked as a senior vision engineer at Cognex Corporation, where he developed industrial vision applications for pattern analysis and verification.

Leonid's research interests mainly lie in the areas of computer vision, machine learning, and computer graphics. He has published more than 60 papers in venues and journals in computer vision, computer graphics and machine learning (including publications in PAMI, IJCV, CVPR, ICCV, ECCV, NIPS, UAI, and ACM SIGGRAPH). His current research spans articulated pose estimation, action recognition, object detection and categorization; transfer, structured and representation learning, latent variable models, data-driven simulation, controller design for animated characters and perception of human motion.

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