The UCSF-UC Berkeley Joint Program in Computational Precision Health (CPH) has appointed 13 new faculty, including Associate Professor Adrian Aguilera, to its augmented graduate group, which functions as a novel, bi-campus initiative and PhD program.
"These UC community members bring expertise in machine learning for biomedical applications, human-computer interaction, and technology-based interventions to address health disparities to this groundbreaking program. Dr. Ida Sim, CPH co-director and professor of medicine at UCSF, called the group “the heart of the CPH intellectual community.” CPH aims to transform personal and public health through computation by developing and deploying adaptive precision interventions for real-world impact.
Launched in October 2021, CPH draws upon two world-renowned universities’ data science, computing, biomedicine and health leaders to forge a new field with the capacity to transform health. CPH researchers will develop computational breakthroughs to enable complex care – from individuals to public health – by augmenting human intelligence and implementing data-informed interventions in hospitals, clinics and the community.
At UC Berkeley, the program is administered by the Division of Computing, Data Science, and Society (CDSS) and exemplifies CDSS’ efforts to create interdisciplinary fields that use data science to solve real-world challenges."