
I am a tenure-track Assistant Professor in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health.
My research applies computational health policy methods to inform decision-making, improve outcomes, and promote health equity in the management of chronic diseases.
I received my PhD in Health Policy from Stanford University. I also hold a Bachelor of Arts in Statistical Science from Cornell University and a Master of Science in Information Science for Health Tech from Cornell Tech.
You can contact me at marikacusick@jhu.edu.
Updates
[April 2025] Published Balancing Efficiency and Equity in Population-Wide CKD Screening in JAMA Network Open.
[February 2025] Added a pre-print for A Novel Decision Modeling Framework for Health Policy Analyses When Outcomes are Influenced by Social and Disease Processes on medRxiv.
[November 2024] Published When to Start Population-Wide Screening for Chronic Kidney Disease in JAMA Health Forum.
[September 2024] Published a policy brief on the Complexities of Race Adjustment in Health Algorithms with Stanford HAI discussing our paper Algorithmic changes are not enough: removal of the race adjustment from the eGFR equation.
[June 2024] Presented Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR equation at the Conference for Health, Inference, and Learning.