Georgiy Bobashev is an RTI Fellow in the Center for Data Science at RTI International with more than 20 years of experience in health research. His current research interests follow two major areas: predictive modeling and studies of substance use and risky behaviors. Predictive methods often combine mechanistic (e.g., agent-based and system dynamics) and machine learning techniques. Dr. Bobashev has applied modeling, statistical analysis and experimental design to a variety of health- and policy-related areas, including substance use, HIV, child/maternal health, influenza, cancer, diabetes, and violent behavior. He has been a principal investigator and co-investigator on numerous grants from the National Institutes of Health (NIH).
In addition to his RTI duties, Dr. Bobashev is an adjunct Associate Professor at the Department of Biostatistics at the University of North Carolina Chapel Hill, an adjunct Assistant Professor at the Department of Statistics at North Carolina State University, a nonresident fellow at John Hopkins Center for Advanced Modeling, and an adjunct faculty at the University College Dublin in Ireland and University of Evora, Portugal.