Summary
Matthew Rudd is an Associate Professor of Mathematics turned data scientist with 11 years of experience applying rigorous statistical thinking to public-health and policy problems. Trained with a PhD from the University of Utah and a master's from the University of Chicago, he teaches data science and statistics while consulting on real-world analyses from clinical trials to dashboard-driven decision support. His work spans R-centric statistical modeling, Python scripting, web apps, geospatial and text analysis, and reproducible protocols for trials—most recently contributing biostatistics to ivermectin efficacy studies in Kenya and Mozambique. He has supported clients including WHO and UNICEF and led longitudinal cough-data modeling for clinical research, combining academic rigor with practical delivery. Based in Sewanee, Tennessee, he welcomes projects with measurable social impact and brings a curious, tool-agnostic approach to turning complex data into actionable insight.
11 years of coding experience
3 years of employment as a software developer
The University of Utah
Master's degree, Mathematics, Master's degree, Mathematics at University of Chicago
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Wake Forest University