Fardin Ganjkhanloo

I’m a Healthcare Policy Modeler at the Center for Health Systems and Policy Modeling at the Johns Hopkins Bloomberg School of Public Health. I contribute to the development of a supply-side model of the U.S. healthcare system to examine how institutional structures and policy incentives shape care delivery, outcomes, and spending. This work aims to inform more equitable and cost-effective healthcare reforms by generating evidence on the impact of models like value-based care—ultimately helping to improve outcomes and reduce system-wide costs.

I earned my Ph.D. in Systems Engineering from Johns Hopkins University at the Center for Systems Science and Engineering (CSSE), where I focused on applying optimization and data science to real-world healthcare challenges. As part of CSSE’s pandemic response team, I helped launch the global COVID-19 dashboard by building the first versions of its data collection automation pipeline—enabling real-time tracking used by billions worldwide. I also contributed to research analyzing large-scale pandemic data and developing optimization strategies to balance hospital load and support health system resilience.

I’ve worked on patient safety initiatives at Johns Hopkins Hospital and conducted methodological research in areas such as Inverse and Robust Optimization—strengthening my commitment to using data-driven models to tackle complex, high-impact challenges in healthcare and beyond. My academic background includes a double major in Civil and Computer Engineering from Sharif University of Technology.