Alan L. Yuille, Professor

Mailing Address:
8967 Math Sciences Building
University of California, Los Angeles
Los Angeles, CA 90095-1554

Phone: 310 267-5383
Fax:
310 206-5658
Email: yuille AT stat DOT ucla DOT edu

GroupWebpage: NEW! http://ccvl.stat.ucla.edu/

 Professor Alan L. Yuille holds a full-time position at Department of Statistics, University of California, Los Angeles. He also holds courtesy appointments at Department of Psychology, Department of Computer Science, Department of Psychiatry. He is the director of the UCLA Center for Cognition, Vision, and Learning. He is affiliated with the UCLA Staglin Center for Cognitive Neuroscience, the Center for Brains, Minds and Machines, and the NSF Expedition in Computing, Visual Cortex On Silicon.

Position Openings

A Postdoctoral Position is currently available. The research involves modeling objects, images, and image sequences. Skills required include mathematical modeling and programming ability (C++, Cuda). Knowledge of  hierarchical probabilistic models and machine learning is strongly required. Interest in neuroscience desired but not essential. Some publications in major conferences and journals a pre-requisite. Contact Prof. Yuille with CV, research statement, and references (e.g., faculty adviser) for more details.

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Brief Biography

Alan Yuille received the BA degree in mathematics from the University of Cambridge in 1976. His PhD on theoretical physics, supervised by Prof. S.W. Hawking, was approved in 1981. He was a research scientist in the Artificial Intelligence Laboratory at MIT and the Division of Applied Sciences at Harvard University from 1982 to 1988. He served as an assistant and associate professor at Harvard until 1996. He was a senior research scientist at the Smith-Kettlewell Eye Research Institute from 1996 to 2002. He joined the University of California, Los Angeles, as a full professor with a joint appointment in statistics and psychology in 2002. He obtained a joint appointment in computer science in 2007. His research interests include computational models of vision, mathematical models of cognition, and artificial intelligence and neural networks.

 

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