Summary
Mark Lamias is an applied and theoretical statistician, survey methodologist, and founder-CEO who has spent over a decade turning complex public health, federal, and commercial data problems into actionable decisions through statistical consulting and data science. As president of The Stochastic Group and a technical lead on CDC/Leidos engagements, he architects end-to-end analytic pipelines, blends survey sampling with ML-driven causal inference, and deploys forecasting and automation solutions across Azure, Databricks, R, and Python. His specialty is rigorous work with complex sample surveys, multi-stage sampling, mixed-effects models, and real-world evidence where he often combines propensity modeling and boosted trees to assess interventions. He pairs deep academic training from Michigan, Iowa State, Emory, and Johns Hopkins with practical engineering—building R web crawlers, R/Python packages, and automated reporting systems—for clients ranging from hospitals to defense and fintech startups. Known for making intricate statistical concepts accessible to non-technical audiences, he also brings the uncommon mix of political science background and hands-on survey methodology to inform policy-relevant analyses.
11 years of coding experience
4 years of employment as a software developer
Biostatistics, Biostatistics at Emory University - Rollins School of Public Health
BS Statistics, BS Statistics at University of Michigan
Master of Science (MS) Statistics, Master of Science (MS) Statistics at Iowa State University
Statistics, Statistics at Johns Hopkins Bloomberg School of Public Health