Tomaso A. Poggio
Eugene McDermott Professor; member, McGovern Institute for Brain Research and Computer Science and Artificial Intelligence Laboratory
areas of expertise: neuroscience, machine learning and intelligence; relationship between brains and computers; computer vision
Tomaso A. Poggio is the Eugene McDermott Professor in the Department of Brain and Cognitive Sciences and the McGovern Institute for Brain Research, and is a member of the Computer Science and Artificial Intelligence Laboratory.
He is author or co-author of more than 400 papers in the fields of learning theory, computer science, computational neuroscience, and nonlinear systems theory and he belongs to the editorial board of several scientific journals. He 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. He 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. He has received several awards, including the Otto-Hahn-Medaille Award of the Max-Planck-Society, the Max Planck Research Award (with M. Fahle), from the Alexander von Humboldt Foundation, the MIT 50K Entrepreneurship Competition Award, the Laurea Honoris Causa from the University of Pavia in 2000 (Volta Bicentennial) and the 2003 Gabor Award.
He is one of the most cited computational neuroscientists (with an h-index greater than 80 — based on GoogleScholar). His research has been interdisciplinary, between brains and computers. His long-term research is now focused on the problem of learning in biological organisms and in computers. In recent decades he has developed theoretical foundations in statistical learning and applications in computer vision, bioinformatics and computer graphics. He has also been active for several years in the area of computational neuroscience. A former Corporate Fellow of Thinking Machines Corporation, he was involved in starting several other high-tech companies.
more information: http://cbcl.mit.edu/
request an interview: Sarah McDonnell | 617-253-8923 | s_mcd@mit.edu