Research in Statistics at UC Berkeley is highly collaborative, taking place within a unique research ecosystem in and around the university. While some research projects involve just a graduate student or postdoc and their faculty advisor, in many cases projects involve collaborations between multiple research groups within the department; with other departments, centers, and institutes on campus; or with non-campus organizations in or near Berkeley, as well as with research groups around the world.

Research Groups

Statistics faculty members collaborate with students and postdocs inside and outside the department to run research groups focused on a variety of topics. These include:

• AI risk
• Causal inference
• Probability
• Statistical machine learning

Collaborations

Our presence in the new Gateway building puts us in close proximity with our colleagues in the Electrical Engineering and Computer Science (EECS) Department, the Center for Computational Biology (CCB), Computational Precision Health (CPH), the Berkeley AI Research Lab (BAIR) and the Berkeley Institute for Data Science (BIDS). Outside of the Gateway building on the UC Berkeley campus, we also collaborate closely with researchers at the Simons Institute for the Theory of Computing and the Helen Wills Neuroscience Institute in addition to various departments. Many of our faculty hold joint appointments with these various organizations. 

Statistics researchers also benefit from the broad ecosystem of research in the Berkeley area, extending beyond the university. We collaborate with the Lawrence Berkeley National Laboratory (LBNL), Simons Laufer Mathematical Sciences Institute (SLMSI; formerly MSRI), International Computer Science Institute (ICSI), and the University of California, San Francisco (UCSF). LBNL and SLMSI are conveniently accessible by local shuttles and UCSF via BART rapid transit.

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