Global Health Institute

Jiaqin Wu will discuss a study that uses machine learning to help keep people living with HIV in Haiti connected to their treatment. By analyzing medical records from over 115,000 patients across 167 health facilities between 2018 and 2024, the research identifies patterns that may predict when someone might stop their antiretroviral therapy. Wu and the Center for Global Health Practice and Impact team tested several computer models to see which could best spot these risks, and the most successful model can now generate individual risk scores. These scores can help health workers target support, guiding efforts to keep patients on treatment and re-engage those who might have missed care.

Featuring

Jiaqin Wu (G’24), M.S., is a data scientist at the Center for Global Health Practice and Impact at Georgetown University. His work focuses on leveraging machine learning, statistical modeling, and health data systems to improve program efficiency and patient outcomes across HIV programs. Wu’s research centers on developing predictive models to identify treatment interruption risk and designing interactive dashboards to support data-driven decision-making in public health systems.