From molecular discovery to therapeutic innovation, we combine bioengineering with computational science to develop personalized treatments. Our research integrates genetic analysis, advanced biomarker detection, and quantitative modeling to accelerate the development of precise, effective therapies. See all of our research areas.
Advancing drug discovery and treatment optimization through computational modeling and systems-level analysis of biological processes.
Understanding how genetic variation impacts drug response to enable more precise and personalized therapeutic strategies.
Understanding how genetic variation impacts drug response to enable more precise and personalized therapeutic strategies.
Understanding how genetic variation impacts drug response to enable more precise and personalized therapeutic strategies.
$30M
14,000
Pioneering the analysis of over 14,000 biosynthetic gene clusters across 2,500 human-associated bacteria to discover new therapeutic compounds.
46th year
In 2025, and for the 46th consecutive year, the UCSF School of Pharmacy received more research funding from the National Institutes of Health (NIH) than any other pharmacy school.
Education
Working in close collaboration with OpenAI colleagues, Liang Zhao, PhD, MAS, MBA, and his team at the UCSF School of Pharmacy are developing a benchmark to evaluate how well AI tools can perform scientific tasks. Included among the tools is GPT-Rosalind, a domain-specific large language model designed for life sciences such as genomics and drug discovery.
A team of UCSF School of Pharmacy researchers led by professor James Fraser has been selected for a new U.S. Department of Energy initiative aimed at harnessing artificial intelligence to accelerate scientific discovery.
The new degree program is designed to prepare professionals to lead effective regulatory, research and development solutions that allow promising new medications and health technologies to reach patients safely.