Philip Greengard, Ph.D.
Associate Research Scientist, Neural Circuits and Algorithms, CCN, Flatiron Institute
Philip is an Associate Research Scientist in Flatiron’s Center for Computational Neuroscience. His research is mainly focused on building mathematical tools for applied statistics problems. Prior to joining the Flatiron Institute, Philip was a postdoc at Columbia University where he worked on computational Bayesian statistics. He has a Ph.D. in applied mathematics from Yale University where he focused on numerical analysis.