Summary
Amelia Averitt is an Associate Director of Advanced Clinical Analytics at Regeneron and a quantitative health researcher who turns biomedical data into actionable clinical insights using machine learning and AI. With nine years of experience and advanced training from Columbia (PhD, MPhil, MA) and Columbia Mailman (MPH), she blends rigorous causal inference and biostatistics with product-focused strategy from Wharton Executive Education. She has progressed through analytics leadership roles at Regeneron while also lecturing in Columbia’s Department of Biomedical Informatics, bridging academic rigor and industry deployment. Her work spans clinical informatics, health economics, and epidemiology, reflecting early research roles at Mount Sinai and EcoHealth Alliance. Based in New York City, she’s known for operationalizing complex models into clinical decision support and teaching the next generation of informaticians. A not-obvious strength: she pairs deep technical expertise with formal product management training to prioritize high-impact, deployable solutions.
9 years of coding experience
8 years of employment as a software developer
MPH Biostatistics & Epidemiology, MPH Biostatistics & Epidemiology at Columbia University Mailman School of Public Health
Bachelor's degree Economics Computer Science/Math, Bachelor's degree Economics Computer Science/Math at New York University
Product Management and Strategy, Product Management and Strategy at Wharton Executive Education
Certificate Causal Inference, Certificate Causal Inference at Harvard University
Doctor of Philosophy (Ph.D.) Biomedical Informatics, Doctor of Philosophy (Ph.D.) Biomedical Informatics at Columbia University