My research (see Research tab) focuses on integrating symbolic and neural network computation for modeling reasoning and, especially, grammar in the human mind/brain. The work is formal and computational, with emerging applications to neuroscience and applied natural language processing. My research has primarily addressed issues of representation and processing rather than learning. Principal contributions (see Publications tab) are to linguistic theory, the theory of vectorial neural network computation, and the philosophical foundations of cognitive science.
During Fall semesters I am on leave from Johns Hopkins, working at Microsoft Research in Redmond, Washington (for a non-technical synopsis of some of my recent work there, see this link: Mind/Brain Networks). Prior to joining the faculty of the Cognitive Science Department at Johns Hopkins, I was a professor in the Computer Science Department and Institute of Cognitive Science at the University of Colorado Boulder. I had been a postdoc at the Center for Cognitive Science at the University of California at San Diego, where I was a founding member of the Parallel Distributed Processing Research Group and worked with Dave Rumelhart, James McClelland and Geoff Hinton. (I also contributed to the User-Centered System Design group led by Don Norman.) My degrees are an A.B. in Physics from Harvard and, from Indiana University, Bloomington, a M.S. in Physics and a Ph.D. in Mathematical Physics.
Unification of the sciences of mind & brain through integration of
compositional, structured, symbolic computation
at the core of many successful classical theories of the mind
Vertical integration of neural and symbolic computation: Theory and application January 5, 2018, Salt Lake City; Plenary lecture, inaugural meeting of the Society for Computation in Linguistics and symposium on Perceptrons & Syntactic Structures at 60
Does the success of deep neural network language processing mean — finally — the end of theoretical linguistics? July 31, 2015, Beijing; Invited talk, with Jennifer Culbertson. CoNLL (Conference on Computational Natural Language Learning; SIGNLL of ACL)