Özge Karanfil

Visiting Scientist

Department of Global Health and Population

As a Visiting Scientist in the Department of Global Health and Population in the Health Systems Cluster, I am aiming to produce policy-relevant research by integrating mathematical and behavioral sciences with a strong emphasis on data-driven analysis and modeling. I have BSc and MSc degrees in Industrial Engineering from Bogazici University, another MSc in Physiology from McGill University, and completed my PhD at the MIT Sloan School of Management, in their System Dynamics Research Group. With a background in industrial engineering, management and health sciences, I am drawn to systemic problems which encompass typical constraint and approaches and have important policy implications for the societal domain. My research experience and interests can be summarized in three major, complementary areas:
i) Dynamic modeling for policy analysis and decision making (health, environment, business, sustainability, and any other complex socio-economic policy problem)
ii) Specific application areas in healthcare management as an overarching theme at various levels (micro, mezzo, macro), relevant to clinical/public health research and management (such as cancer screening, chronic and cardiovascular disease management, disease biomarkers, physiologically oriented disease modeling, dynamics and economics of obesity and body weight)
iii) The underlying theoretical methods to cultivate research in the first two domains

My training is multi-disciplinary, and I have both collaborated and published with experts in management, systems sciences, health sciences and engineering to solve complex health management problems with important policy implications for the societal domain. My current projects at HSPH include dynamic modeling of chronic and cardiovascular diseases for Malaysia and South Korea, obesity and diabetes in the Middle East, global risk factors for hypercholesterolemia, and health systems research using systems science methodologies such as system dynamics modeling, agent-based modeling and social network analysis. In my PhD research I explored why clinical practice guidelines of cancer shift over time in the U.S., with a generic stylized dynamic simulation model, and an extended case study and model with application to Prostate Specific Antigen (PSA) screening for prostate cancer.

BSc, MSc, Industrial Engineering, Boğazici University
MSc, Physiology, McGill University- Center for Nonlinear Dynamics in Physiology and Medicine
PhD, Management Science, MIT Sloan School of Management
Dissertation Title: Why Clinical Practice Guidelines Shift over Time: A Dynamic Model with Application to Prostate Cancer Screening, Link to PhD thesis / Advisor: John D. Sterman

Institute for Operations Research and the Management Sciences (INFORMS) 2011 – present
Society for Medical Decision Making (SMDM) 2014 – present
International System Dynamics Society (SDS) 2002 – present
• Healthcare Track Chair 2016 – 2017
• Policy Council Elected Member 2015 – 2017
• Health Policy Special Interest Group 2006 – present
• Biomedical Special Interest Group 2008 – present
Systems Thinking Club, MIT Sloan 2015 – present
Public Health Systems Research (PHSR) 2015 – present
Academy Health (AcademyHealth) 2015 – present
Health Systems Global (HSG) 2017 – present