Tomaso Poggio

He is one of the most cited computational neuroscientists. with contributions ranging from the biophysical and behavioral studies of the visual system to the computational analyses of vision and learning in humans and machines. With Werner E. Reichardt he characterized quantitatively the visuo-motor control system in the fly. With David Marr (neuroscientist), he introduced the seminal idea of levels of analysis in computational neuroscience. He and Torre introduced regularization as a mathematical framework to approach the ill-posed problems of vision and the key problem of learning from data. The citation for the 2009 Okawa prize mentions his “…outstanding contributions to the establishment of computational neuroscience, and pioneering researches ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines.” His research has always been interdisciplinary, between brains and computers. It is now focused on the mathematics of deep learning and on the computational neuroscience of the visual cortex.

Poggio is an honorary member of the Neuroscience Research Program, a member of the American Academy of Arts and Sciences and a founding fellow of AAAI and a founding member of the McGovern Institute for Brain Research. He received the Laurea Honoris Causa in Computer Engineering from the University of Pavia for the Volta Bicentennial in 2000, the 2003 Gabor Award, the 2009 Okawa Prize [2], and named in 2009 a Fellow of the American Association for the Advancement of Science (AAAS) for “distinguished contributions to computational neuroscience, in particular, computational vision learning and regularization theory, biophysics of computation and models of recognition in the visual cortex”, and the 2014 Swartz Prize for Theoretical and Computational Neuroscience.

Tomaso Armando Poggio (born 11 September 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.