Summary
Dan Martin is a Data Scientist with over a decade of applied quantitative experience, blending a PhD in Quantitative Psychology with hands-on healthcare analytics at Boston Medical Center. He designs and evaluates large-scale interventions using claims, EMR, and public data to target care management and social determinants of health, and routinely applies experimental and quasi-experimental methods. Previously he led and scaled people analytics at McKinsey—building modeling pipelines, self-service dashboards, and an internal knowledge hub—while continuing to mentor PhD-to-industry transitions through Insight Data Science. Known for shipping reproducible tools (R packages and deployed Shiny apps) and pragmatic statistical solutions, he pairs rigorous academic training with product-focused implementation. Based in Greater Boston, he brings a rare mix of program evaluation, causal inference, and production-ready analytics to healthcare problems.
12 years of coding experience
10 years of employment as a software developer
Bachelor's Degree^2 Computational and Applied Mathematics, Bachelor's Degree^2 Computational and Applied Mathematics at University of Rhode Island College of Arts and Sciences
Summer program Psychology of Evil, Summer program Psychology of Evil at University of Stirling International Study Centre
Doctor of Philosophy Psychometrics and Quantitative Psychology, Doctor of Philosophy Psychometrics and Quantitative Psychology at University of Virginia