Daniel is a data scientist at the University of Pennsylvania. He performs large-scale data analysis to uncover trends in scholarly publishing. For example, Daniel has investigated the time from submission to publication at thousands of journals, what percent of the literature is in Sci-Hub, how preprints are licensed, and what bibliographic styles journals have applied over time. Currently, Daniel researches human disease and leads development of Manubot, a tool for open scholarly writing on GitHub.