Our people are leaders in the fields of human genetics, sociology, mathematics, history, evolutionary biology, English literature and psychology, from the nations most prestigous institutions. About a third come from a computational modeling background who are interested in identifying and modeling knowledge generation and transmission processes. The remaining two thirds take the long view of science and scholarship and bring their expertise into meaningful conversations and research on topics that are of interest to them and to the Lab as a whole.
In the Limelight
Graduate Student, University of Chicago
Nathan is Master's student in Computer Science from Los Angeles, California. Having done his B.A. at UChicago in Biology, he is interested in bridging the gap between Computer Science and Biology. This has taken him in many different directions, including (but certainly not limited to): machine learning, natural language processing, big data, and software engineering. While at the Knowledge Lab, he has worked on projects ranging from building multi-target text classifiers and accompanying user interfaces to running an exploratory analysis of public GitHub repositories. In his free time he enjoys team sports, martial arts, and nature excursions.