Tomaso Poggio

Tomaso A. Poggio
Born	Tomaso Armando Poggio (1947-09-11) 11 September 1947 (age 69) Genoa, Italy
Residence	United States
Fields	Machine learning Neural networks Artificial intelligence Cognitive science Visual systems
Institutions	Massachusetts Institute of Technology
Alma mater	Istituto Arecco (BA) University of Genoa (PhD)
Doctoral advisor	Prof. A. Borsellino
Notable students	Christof Koch Amnon Shashua Demis Hassabis
Known for	Biophysical and behavioral studies of the visual system Computational analyses of vision and learning in humans and machines Deep learning Visuo-motor control system in the fly
Notable awards	Otto Hahn Medal, 1979. Honorary degree, University of Pavia, 2000. 2003 Gabor Award. 2009 Okawa Prize [1]. Swartz Prize For Theoretical and Computational Neuroscience,The Society for Neuroscience, 2014.

Tomaso Armando Poggio (born September 11, 1947 in Genoa, Italy), is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of both the Center for Biological and Computational Learning at MIT and the Center for Brains, Minds, and Machines, a multi-institutional collaboration headquartered at the McGovern Institute since 2013.

Born in Genoa, Italy, and educated at Istituto Arecco, Tomaso Poggio completed his doctorate in physics at the University of Genoa and received his degree in Theoretical Physics under professor A. Borsellino.

His interdisciplinary research on the problem of intelligence, between brains and computers, started at the Max Planck Institute in Tuebingen, Germany in collaborations with Werner E. Reichardt, David C. Marr and Francis H.C. Crick, among others. He has made contributions to learning theory, to the computational theory of vision, to the understanding of the fly's visual system, and to the biophysics of computation. His recent work is focused on computational neuroscience in close collaboration with several physiology labs, trying to answer the questions of how our visual system learns to see and recognize scenes and objects.

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