David Zoltowski is a computational neuroscientist who is broadly interested in statistical methods for analyzing neural data and probabilistic machine learning. As a postdoctoral fellow at Stanford, he is developing statistical models of nonlinear neural dynamics and working on brain-computer interface algorithms. David received a B.S. in electrical engineering from Michigan State University and an M.Phil in engineering at the University of Cambridge, where he was advised by Professor Máté Lengyel and supported by a Churchill Scholarship. David then obtained a Ph.D. in neuroscience at Princeton University. At Princeton, David was advised by Professor Jonathan Pillow and worked on a variety of topics in statistical neuroscience.