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Health Informatics Seminar – Dr. Chad Heilig, CSELS, CDC
UGA College of Public Health
Health Informatics Institute
Spring 2018 Seminar Series
“Who Gets to Do Data Science?”
This month’s guest speaker is: Chad Heilig, Ph.D., Associate Director for Data Science, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention
Presentation Overview: The Centers for Disease Control and Prevention (CDC) run on science fueled by data. This presentation lays out a working definition of data science and, more importantly, who practices data science and how. The central thesis is that every scientist who wants to do good things with data should have the intellectual support to do so, as long as they proceed with rigor and stand behind their work. To keep up with rapidly changing methods, technology, and tools, self-learning problem-solvers need know-how to bridge domain knowledge and methods, love of knowledge to drive problem-solving with data, and a supportive culture of mentors and peers.
Speaker Biography: Charles M. (Chad) Heilig, Ph.D., is the Associate Director for Data Science in the Center for Epidemiology, Surveillance, and Laboratory Services at the Centers for Disease Control and Prevention (CDC). In this role, Dr. Heilig helps CSELS apply and integrate data sciences in public health practice and research to better serve the CDC science community around data and surveillance issues, support the CDC Surveillance Strategy, ensure ethical stewardship of our many data repositories, and promote efforts to analyze, interpret, and present evidence from data. During his 20 years at CDC, he has worked on cohort studies of women with–or at risk for–HIV, a clinical trial to prevent HIV transmission from breastfeeding mothers to their infants, human research protections, clinical trials to treat and prevent tuberculosis and, most recently, applications of machine learning and text analytics to public health surveillance. He holds B.A. in Mathematics from University of Florida and a Ph.D. in Statistics from the University of California, Berkeley.
Everyone is welcome to attend! Light refreshments served from 11:30 AM till Noon. Presentation from Noon until 1:00 PM. Contact Andreas Handel (email@example.com) for more information.