- 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 exploration, data analysis, scientific insight and education.