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The Bakar Computational Health Sciences Institute (BCHSI) is committed to becoming a more diverse, equitable and inclusive workplace. To advance diversity, equity and inclusion in the workplace, BCHSI will identify and take substantive steps, and hold ourselves accountable for progress. 

We also promote research that addresses health disparities among underserved populations, and build computational tools and data sets that more effectively address DEI challenges in research.

We want to use new technologies and informatics that can have real-world impact on underrepresented and vulnerable communities. We want to respect the patient and data and engage in ways that are transformative.

William BrownWilliam Brown III, PhD, DrPH, MA
Associate Professor of Medicine and Epidemiology & Biostatistics
Director of Diversity, Equity and Inclusion at BCHSI

How can we achieve Diversity, Equity, and Inclusion?


Recruitment & Retention

Increasing recruitment and retention of Underrepresented Minority (URM) people in Bakar-affiliated faculty and staff positions.

Link to UCSF faculty & staff positions

AI4ALL class


Strengthen the pipeline of diverse students in the field who will become the next generation of faculty leaders. 

AI4All is a US nonprofit dedicated to increasing diversity and inclusion in AI education, research, development, and policy. UCSF AI4ALL is a summer program run in partnership between UCSF and AI4ALL, staffed by UCSF professors and students who want to share their passion for AI with a diverse next generation. 


Pride march

DEI News

Highlight outstanding efforts in DEI by our faculty and staff in our institute wide communications and beyond.

Subscribe to UCSF Diversity Newsletter



Increase the number of NIH diversity supplements submitted by BCHSI faculty as well as increase our dissemination of diversity supplement resource information.

URM Candidates with Specific Skills Match with BCHSI Research Projects! 

Talent Intake form 

Office of Diversity and Outreach 
Multicultural Resource Center 
Toward Algorithmic Justice in Precision Medicine — November 7, 2023: This workshop convened health system professionals, biomedical investigators, AI tool developers, and the broader public, to consider systemic flaws in data collection, datasets, and AI tools, and how resultant algorithmic injustices can be uncovered and addressed, enabling equitable advances in precision medicine.