Summary
Robert Redelmeier is a data scientist with a decade of experience applying computational and statistical methods to healthcare and public-policy problems, currently working at Intuit. He blends rigorous R and Python analytics with end-to-end project skills—evaluation design, mixed-methods studies, and clear visual communication—and has contributed to six scientific publications including work featured in major outlets during the COVID-19 pandemic. His background spans academic research roles that produced JAMA and CMAJ papers, editorial analysis at BMJ, and hands-on program evaluation for networks of thousands of patients, giving him both technical depth and policy-facing perspective. Trained in applied computing (MSc, UofT) and mathematics, he thrives on using data to solve human-centered problems and often automates literature- and evidence-synthesis workflows to scale research impact.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Arts and Science and Mathematics, Bachelor’s Degree, Arts and Science and Mathematics at McMaster University
Masters of Science in Applied Computing, Masters of Science in Applied Computing at University of Toronto
High School, High School at University of Toronto Schools