UCSF Bakar Computational Health Sciences Institute & UC Berkeley D-Lab

The emerging field of precision medicine demands a new approach to research that harnesses the power of data science. This requires biomedical researchers and practicing clinicians with skills in quantitative and computer sciences as well as modern computing and data infrastructure to support relevant research activities and implement findings in clinical practice. The UCSF Bakar Computational Health Sciences Institute is working to build a foundation of faculty and knowledge assets in computational health sciences and bring together a community of thinkers interested in this emerging field. Our initiatives are focused on enhancing education and infrastructure as well as building community with the goal of advancing computational health sciences in research, practice, and education—in support of precision medicine for all.

The UC Berkeley D-Lab is a highly-popular campus-wide data science hub, providing services, support, and a venue for cutting-edge research design and experimentation in data-intensive social science. D-Lab scientific and technical staff provide training and consultation, and host interdisciplinary working groups on a wide range of data science methods from Python and  fundamentals, to machine learning and text analysis/natural language processing, to data visualization and curation. The D-Lab team also provides access to a rich array of state and federal data resources, supports restricted data services, and advises on technical questions and research design. More at http://dlab.berkeley.edu/. UCSF trainees welcome!