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.
11 years of coding experience
8 years of employment as a software developer
B.S./B.A., B.S./B.A. at University of Rhode Island
Ph.D., Ph.D. at University of Virginia