Stephanie Eaneff

Stephanie Eaneff is a Research Professor and Senior Biostatistician at Georgetown University's Center for Global Health Science and Security. She specializes in developing data-driven systems, AI/ML tools, and digital health solutions to address public health challenges. Her work spans global health security, algorithmic ethics, and healthcare innovation.

Education:

• Master’s in Statistical Practice, Carnegie Mellon University
• Bachelor’s in Biochemistry, UCLA
• Health Innovation Research Fellow at UC Berkeley and UCSF

Research Interests:

• Designing digital therapeutics for postpartum depression and other mental health conditions
• Evaluating AI/ML applications in healthcare, including algorithmic bias mitigation
• Mapping global health financing gaps and pandemic preparedness costs
• Developing frameworks for algorithmic stewardship in clinical settings
• Studying HIV policy environments and legal barriers to healthcare access

Key Contributions: Her work informs FDA guidelines on social media data for medication safety and supports White House pandemic preparedness decision-making. She co-authored tools featured in the UN Biological Weapons Convention and G20 reports.

Awards & Recognition:

• Health Innovation Research Fellow (UC Berkeley/UCSF)

Labs & Affiliations: Active contributor to the Center for Global Health Science and Security, One Health Lab, and the Health Diplomacy Training Institute at Georgetown.