Interdisciplinary Health Research Projects

Health and biology is govern by genetic data and how it manifests and interacts with the environment. Uncovering novel insight in these processes requires tools to manipulate, analyze, and visualize massive and disparate data sets such as DNA and RNA sequences, images, and text.


The DSI partners with the Faculty of Medicine at UBC and the Pacific Health Innovation eXchange (PHIX) to provide funding to interdisciplinary research groups to accelerate health care breakthroughs in British Columbia. These teams feature leading clinicians collaborating with faculty at the cutting-edge of data science research domains such as statistical modelling, machine learning, and natural language processing.

List of Funded Projects:


EHR Analytics Research Program

The UBC Data Science Institute is starting a joint research partnership program with the British Columbia (BC) Provincial Health Services Authority, the BC Centre for Disease Control and the Department of Medicine at UBC in the Fall 2020. The objective is to build cutting-edge data platforms and conduct interdisciplinary research at the intersection of data science, machine learning and public health. Research topics of interest include, but not limited to, predictive modelling, longitudinal analysis, natural language processing, data visualization, and data privacy.

For questions about funding opportunities and partnerships, please contact the DSI Scientific Director.

Contact the Scientific Director