Statistics and Applied Mathematics


Project Jupyter is a community of open-source developers, scientists, educators, and data scientists. Its goal is to build open-source tools and create a community that facilitates scientific research, reproducible and open workflows, education, computational narratives, and data analytics. Jupyter supports over 100 programming languages, and connects data analytics tools across a range of disciplines and communities.

There are several core projects of Jupyter that the Berkeley Institute for Data Science supports:


Scikit-image is a community-driven Python project, consisting of a vast collection of high-quality, peer-reviewed image processing algorithms that are made available to a global community of researchers free of charge and free of restriction. The library is widely used in many different fields, including astronomy, biomedical imaging, and environmental resource management. Scikit-image was founded by BIDS Research Data Scientist Stéfan van der Walt in 2009.

Computational Precision Health

The joint UC Berkeley-UCSF Program in Computational Precision Health (CPH) will bridge medicine, statistics, and computation to improve the quality, efficiency, and equity of medicine and population health. BIDS Faculty Affiliate Maya Petersen is a CPH Co-Director, and CPH Core and Affiliate Faculty include BIDS Faculty Affiliates David BammanJoshua Blumenstock, and Bin Yu.