Dr. Jordan Lawson (Dr. J), is an applied statistician, research software engineer, and technical leader whose work sits at the intersection of causal inference, program evaluation, education analytics, research software engineering, and data-centric AI. Trained in Applied Statistics at Boston College, he has built a career around turning complex data into rigorous, accessible tools that help schools, community-based organizations, and applied research teams understand needs, evaluate impact, and make better decisions in service of students, families, and underserved communities.

Dr. J’s early work focused on education policy, school access, and the evaluation of integrated student-support interventions in high-poverty urban schools. As a Senior Statistician at the Mary E. Walsh Center for Thriving Children at Boston College, he led statistical analysis planning, built large-scale student datasets, and developed sophisticated quantitative approaches for estimating credible effects from observational student data. That work reinforced his belief that rigorous methods matter most when they help clarify real needs, test whether supports are making a difference, and give communities stronger evidence to advocate for students.

At Brown University’s Center for Computation and Visualization, Dr. J expanded that methodological foundation into research software engineering, building reproducible workflows, dashboards, statistical analyses, and research applications for complex multidisciplinary projects. The result is a rare bridge between research design, statistical rigor, software engineering, and practical implementation. Jordan does not simply analyze data; he builds the systems that make data usable, trustworthy, and actionable.

That bridge is central to Dr. J’s work with schools, community-based organizations, research teams, and mission-driven partners across education, health, social impact, and applied research. Through consulting and technical leadership, he develops production-oriented dashboards, enrollment and financial-forecasting simulators, data pipelines, evaluation tools, and decision- support systems. Across these projects, his focus is helping organizations move from fragmented or inaccessible data toward clear, governed, community-centered tools that strengthen local decision-making, build lasting analytic capacity, and improve supports for students, families, and communities.

Dr. J’s commitment to this work is both professional and personal. Shaped in part by his own lived experiences, he believes technical skill should not be reserved for institutions with the most resources. He is especially committed to using statistics, software, and research design to support communities that have been underserved, overlooked, or asked to make consequential decisions without access to the data infrastructure and analytic capacity they deserve. Across his work, Dr. J is guided by the belief that data should not distance us from people. Used responsibly, it can help communities see needs more clearly, honor lived experience and local knowledge, evaluate what is working, and build more just and sustainable systems of support.