Statistics, UC Berkeley; Data Science and Technology Division, LBNL
Associate Professor, Statistics, UC Berkeley Faculty Scientist, Data Science and Technology Division, LBNL Co-PI for Moore/Sloan Data Science Environments
Fernando Pérez's research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, interactive and literate computing, and reproducible research. He created IPython while a graduate student in 2001 and co-founded its successor, Project Jupyter. The Jupyter team collaborates openly to create the next generation of tools for human-driven computational...
Tim Tangherlini is interested in the circulation of stories on and across social networks, and the ways in which stories are used by individuals in their ongoing negotiation of ideology with the groups to which they belong. In general, his work focuses on computational approaches to problems in the study of folklore, literature and culture.