Summary
Amy Finnegan is a PhD-trained principal data scientist and founder of a consulting practice that applies AI and cloud-based health data pipelines to cut processing time by over 50% and improve patient outcomes. With 9–12 years of experience in applied data science for global health, she has led predictive analytics across multiple health systems, harmonizing EMR/EHR standards to enable early warning systems and policy-informing dashboards. She has scaled data teams and agile practices at IntraHealth, mentored interdisciplinary students at Duke, and accelerates real-world impact by turning routine programmatic data into actionable insights. A board member and global fellow focused on health equity, she blends rigorous academic research with pragmatic engineering—having co-designed USAID-funded evaluations and open-source R Shiny tools used across 20+ countries. Notably, her work often surfaces value by repurposing "old" routine data for new clinical and operational uses, reflecting a creative, systems-oriented approach to analytics. Based in Greensboro, NC, she combines technical leadership with deep domain expertise in maternal and public health programs across Sub-Saharan Africa and beyond.
9 years of coding experience
8 years of employment as a software developer
PhD Public Policy Studies, PhD Public Policy Studies at Duke University
MPA International Public and Non-profit Management, MPA International Public and Non-profit Management at New York University
MA Europeanization of Governance and Politics, MA Europeanization of Governance and Politics at Tallinn University
BA Political Science, BA Political Science at South Dakota State University
English, Indonesian