In this episode, Dr. Georgiy Bobashev, PhD, Senior Research Statistician at RTI (Research Triangle Institute) International, introduces a new concept called “myEpi,” which involves the application of traditional epidemiological methods to a single individual, to monitor and predict health events.
Release Date: March 3, 2016
Duration : 17:08
Georgiy Bobashev, PhD, is an RTI Fellow in the Center for Data Science at RTI International where he has been doing health research since 1998. His current research interests are substance use studies in which he focuses on personalized treatments and a systems approach to addictions, and predictive modeling in which he focuses on methods development in forecasting health outcomes. These methods often combine mechanistic (e.g., agent-based and system dynamics) and statistical models.
Dr. Bobashev has applied modeling to health- and policy-related areas such as substance use, HIV, influenza, colorectal cancer, maternal and child health diabetes, and political violence. In addition, he is a nonresident fellow at the John Hopkins Center for Advanced Modeling, a member of the Industrial Advisory Board at the Institute for Advanced Analytics at North Carolina State University, an external fellow at Geary Dynamics Lab at the University College Dublin, and an adjunct faculty member in the Department of Statistics at North Carolina State University.