Philip Greengard is an Associate Research Scientist in the Neural Circuits and Algorithms group. His research is focused on using tools from applied mathematics and statistics to understand learning mechanisms in neuronal circuits. Prior to joining the Flatiron Institute, Philip was a postdoc at Columbia University where he worked primarily on computational and applied statistics. Philip has a Ph.D. in Applied Mathematics from Yale University.