FOUNDER

Jordan Lawson, Ph.D.

Jordan Lawson is a researcher, statistician, and software engineer whose work spans causal inference, program evaluation, research software, and AI/data architecture. He founded StatisTech in 2023 to help education, nonprofit, public-sector, and applied-research organizations turn complex data into rigorous analyses, reproducible workflows, and practical decision tools.

Through StatisTech, Jordan has built enrollment forecasts, tuition and financial-aid scenario models, production dashboards and R Shiny applications, and data pipelines using administrative, student, achievement, and referral data. He also conducts psychometric and validity-focused work for testing and credentialing organizations.

Jordan is a Senior Research Software Engineer at Brown University’s Center for Computation and Visualization and previously served as a senior statistician at Boston College’s Mary E. Walsh Center for Thriving Children, where he led statistical work on integrated student support in high-poverty urban schools. He earned his Ph.D. in Measurement and Statistics from Boston College, and his peer-reviewed work spans education, public health, biomedical science, causal inference, and predictive robustness.

His current work also includes leading engineering and product development for an AI/data-architecture startup, where he has helped translate statistical methods into a commercial AI product and contributed to patent-pending methods for robust prediction from high-dimensional, error-prone data.

Selected research and intellectual property ↓