Matt Landis brings decades of experience in data science, statistical analysis, and simulation modeling. At RSG, he leads the firm’s data science efforts, applying expertise in data engineering, visualization, and statistical modeling to support travel behavior research and infrastructure planning. He is known for developing robust data pipelines and tools that enhance data quality, streamline workflows, and support decision-making.
Matt’s contributions span major projects for agencies including the Federal Highway Administration, New York City Department of Transportation, Metropolitan Council, and the National Park Service. He also guides backend data development for rMove®, helping ensure the delivery of high-quality, actionable insights to clients nationwide. His work includes survey weighting, data imputation, and visualization for numerous large-scale household travel surveys and national infrastructure data programs. His research has been published in peer-reviewed journals and has informed national policy on topics ranging from transportation performance to water security.
When he’s not wrangling data, Matt enjoys small-town life in Vermont with his wife, Angela. With two grown children out in the world, they’re rediscovering the joys of a quiet house and the occasional road trip with an empty back seat.
Education
- PhD, Ecology, Dartmouth College
- BS, Biology, Ursinus College
