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Georgiy Bobashev

Senior Data Scientist

Georgiy Bobashev, PhD, is a senior research statistician at RTI, where he has been working 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, diabetes, and political violence. In addition, he is a nonresident fellow at the Brookings Institution, 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.

Education

Post-doctoral training, Biostatistics/Mental Hygiene, Johns Hopkins University; PhD, Biomathematics, North Carolina State University; MS, Physics/Mechanical Engineering, St. Petersburg Technical University (Russia).

Latest Publications

Kneipp, S.M., Leeman, J., McCall, P., Hassmiller-Lich, K., Bobashev, G., Schwartz, T.A., et al. (2015). Synthesizing marketing, community engagement, and systems science approaches for advancing translational research. ANS Adv Nurs Sci , 38 (3):227-240.
Lau, C.Q., & Bobashev, G.V. (2015). Respondent-driven sampling: A new method to sample businesses in Africa. Journal of African Economies, 24 (1):128-147.
Garbutt, J.C., Greenblatt, A.M., West, S.L., Morgan, L.C., Kampov-Polevoy, A., Jordan, H.S., & Bobashev, G.V. (2014). Clinical and biological moderators of response to naltrexone in alcohol dependence: A systematic review of the evidence. Addiction, 109 (8):1274-1284.
Bobashev, G. (2014). myEpi. Epidemiology of one. Front Public Health, 2 :97.
Heard, D., Bobashev, G.V., & Morris, R.J. (2014). Reducing the complexity of an agent-based local heroin market model. PLoS one, 9 (7):e102263.
View all publications by Georgiy Bobashev (49)

Expertise

  • Predictive Modeling
  • Substance Use and Addiction
  • Statistical Methodology
  • Systems Analysis