Chad Heilig, PhD

Associate Director for Data Science, Center for Surveillance, Epidemiology, and Laboratory Services, US Centers for Disease Control and Prevention

Chad Heilig is the Associate Director for Data Science in the Center for Surveillance, Epidemiology, and Laboratory Services at the US Centers for Disease Control and Prevention (CDC). His current methodological interests focus on machine learning and text analytics, especially as applied to autism surveillance and syndromic surveillance. His role is to help CDC apply and integrate data sciences in public health practice and research to better serve the CDC science community around data and surveillance issues, to support the CDC Surveillance Strategy, and to promote efforts to analyze, interpret, and present evidence from data. He contends that everyone who wants to do good things with data should have the intellectual support to do so; he has mentored students and fellows from a variety of disciplines.

Chad holds a Ph.D. in statistics from the University of California, Berkeley. He has worked on issues around the health of women with or at risk for HIV, research ethics and human research protections, the ethics and methodology of clinical trials to prevent and treat tuberculosis, and methods for finding persons with tuberculosis in resource-limited settings..