Summary
Andrew Long is a Health Data Scientist and Machine Learning Engineer with nine years of experience building predictive models and data products that improve clinical care, currently driving health analytics at Apple from Mountain View. He combines rigorous academic training (PhD in Biomedical Engineering) and hands-on ML production experience—deploying XGBoost models, automated scoring pipelines, and Tableau dashboards that served tens to hundreds of thousands of patients. Equally comfortable digging into EMR ETL, NLP for clinical text, or statistical experiment design, he has a track record of translating noisy biomedical data into actionable workflows and C-suite-facing insights. A former academic researcher who ran large human-subject experiments and optimized robotic exosuits, he brings experimental rigor and reproducible analysis practices to product-focused teams. Known for mentorship, teaching, and presenting workshops at ODSC, he pairs curiosity-driven problem solving with practical, production-grade engineering.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Doctor of Philosophy (PhD), Biomedical/Medical Engineering at The Johns Hopkins University School of Medicine
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Northwestern University
English