- "Optimal Hospital Capacity Management During Demand Surges" accepted in Health Care Management Science – Read more →
- Serving as Session Chair at INFORMS Healthcare Conference 2026 (upcoming, July 2026) – See talks →
- Joined Center for Health Systems and Policy Modeling as Health Care Policy Modeler (Feb 2025) – Read more →
About
I’m a Health Care Policy Modeler at the Center for Health Systems and Policy Modeling (CHSPM), housed at Johns Hopkins Bloomberg School of Public Health, where I develop models that simulate how hospitals respond to payment incentives. Drawing on economic theory, optimization, and national-scale Medicare data, I study how payment reforms affect care delivery, patient outcomes, and costs. Our research at the Center is aimed at giving policymakers and health system leaders evidence-based insights into how to design effective policies to improve care and contain costs.
I completed a PhD in Systems Engineering at the Center for Systems Science and Engineering (CSSE), Johns Hopkins, in January 2025, where my work spanned clinical risk optimization, inverse optimization methodology, and health systems modeling in collaboration with clinicians and engineers across JHU. During the pandemic, I co-developed the data collection and automation pipeline for the Johns Hopkins COVID-19 Dashboard, enabling real-time global tracking that informed public health decisions worldwide. I hold dual bachelor’s degrees in Computer Engineering and Civil Engineering from Sharif University of Technology.
For collaborations or speaking, email me.
Selected Publications
Evolving Patterns of COVID-19 Mortality in US Counties: A Longitudinal Study of Healthcare, Socioeconomic, and Vaccination Associations
Ganjkhanloo, F., et al. (2024). PLOS Global Public Health.
Optimal Hospital Capacity Management During Demand Surges
Parker, F., Ganjkhanloo, F., Martínez, D. A., Ghobadi, K. (accepted). Health Care Management Science.
The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: Data Collection Process, Challenges Faced, and Lessons Learned
Dong E, Ratcliff J, Goyea TD, et al. (2022). The Lancet Infectious Diseases.