As a Research Fellow at SFI, Simon DeDeo works on questions of computation in the natural world: how things that evolved -- in contrast to things humans built -- process information.
Drawing on his training in the mathematical sciences, he takes advantage of SFI's transdisciplinary environment to investigate the emergence of collective phenomena in biological and social systems. In many cases, these allow groups to solve problems better than any of their individual parts. At SFI he combines methods developed to study, on the one hand, "unintelligent" physical phenomena, and on the other hand, engineered systems, to study evolved and adaptive phenomena in the living world. He works in collaboration with researchers in fields ranging from neuroscience to animal behavior to human social systems.
Simon holds an A.B. in astrophysics from Harvard, a Master’s in applied mathematics and theoretical physics from Cambridge University, and a Ph.D. in astrophysical sciences from Princeton University. His recent past includes post doctoral fellowships at the Institute for Physics and Mathematics of the Universe at the University of Tokyo and at the Kavli Institute for Cosmological Physics at the University of Chicago.