David Rolnick competed a Ph.D. at MIT in Applied Mathematics. He received his B.S. in Mathematics from MIT and studied at the Free University of Berlin as a US-Germany Fulbright Scholar. David’s research, which was supported by an NSF Graduate Research Fellowship, included work on algorithms, machine learning, and graph theory. In the Boyden lab he worked on problems at the intersection of machine learning and neuroscience.