This website may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the website work as you expect it to and give you a more personalized web experience. We respect your right to privacy, so you can choose not to allow some types of cookies. Click on the different category headings to find out more. You can accept or refuse our use of cookies, by moving the selector switch in each category to change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer you.
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.