Using informal online data to uncover hidden insights on social interactions and phenomena that influence population health


12:00 pm to 1:00 pm

UCSF Mission Bay Campus 
Mission Hall amfAR Conference Room 3700 
550 16th Street, San Francisco CA  94158 

Yulin Hswen, ScD, MPH

Dr. Yulin Hswen is a computational epidemiologist and research fellow in the Innovation Program at Boston Children’s Hospital, Harvard Medical School.  Her current work seeks to develop and test new methods to capture informal online data sources towards generating population health insights that can be used to predict the onset and course of various diseases and public threats.  Her research involves the design and development of digital surveillance methods, as well as novel tools that can transform public practice and influence health policies.

Dr. Hswen will cover three key objectives spanning the fields of computational epidemiology and population informatics: 1) Provide an overview of the application of novel computational methods for uncovering patterns of disease and exploring the links between individual behaviors and illness trajectories; 2) Demonstrate how digital data can advance our understanding of social determinants of health and further efforts to promote equitable access to quality health care among marginalized patient populations; and, 3) Consideration of how big data and computational methods can advance our understanding of the impact of social, environmental, and political forces on human health.