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Bloomberg Distinguished Professorship in Computational Cognitive Science

Whiting School of Engineering, Zanvyl Krieger School of Arts and Sciences

Established in 2013 by Michael R. Bloomberg

bloombergmichaelMICHAEL R. BLOOMBERG is the founder of Bloomberg LP, Philanthropist, UN Secretary-General’s Special Envoy for Cities and Climate Change, World Health Organization Global Ambassador for Noncommunicable Diseases, and three-term mayor of New York City.

He is an entrepreneur and philanthropist who served as mayor of New York City from 2002-2013 after leading the company he started in 1981 for 20 years. Since leaving City Hall, he has resumed leadership of Bloomberg LP.

Bloomberg was elected mayor less than two months after the terrorist attacks of September 11, 2001. Under his leadership, the city rebounded faster and stronger than expected on issues ranging from education to health to economic development.

A lifelong philanthropist, Bloomberg founded Bloomberg Philanthropies, which focuses on five main areas: public health, education, the environment, the arts, and government innovation. He also leads a number of bi-partisan coalitions on urgent issues, including climate change, illegal guns, immigration reform, and infrastructure investment.

Bloomberg graduated from Johns Hopkins University and Harvard Business School.

Held by Alan Yuille

YuilleAlanALAN YUILLE is a leading mathematician and computer scientist developing mathematical models of vision and cognition for computers that, when given images or videos, can reconstruct the 3D structure of a scene. These models are intended primarily for designing artificial vision systems, the applications of which include assistance for people with vision impairment.

Yuille’s research interests include computational models of vision, mathematical models of cognition, medical image analysis, and artificial intelligence and neural networks. His Computational Cognition, Vision, and Learning research group also studies how humans and animals perform cognitive tasks such as learning and reasoning, and use machine learning for studying brain function and training computers to interpret medical images. His current endeavor, the Felix Project, aims to create computer programs that can learn to detect signs of pancreatic cancer in CT scans earlier and with more accuracy than humans, improving patient outcomes with early detection and treatment.

Yuille joined Johns Hopkins University as a Bloomberg Distinguished Professor in 2016 from the University of California, Los Angeles.