Daniel Fuller is an Associate Professor and Co-Principal Applicant with a decade of experience researching population health, natural experiments, and transportation-related health inequalities. Based in Saskatoon, he leads interdisciplinary projects evaluating public bicycle share impacts across North America and has a track record of large-scale data linkage work combining survey and administrative health data. He blends academic leadership—including a Canada Research Chair—and entrepreneurial experience as CEO of Good Fit Data to translate complex evidence into policy-relevant insights. Known for bridging kinesiology training and advanced public health methods, he co-leads teams like Walkabilly Lab and Team INTERACT to advance equitable, infrastructure-focused health research.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Public Health, Doctor of Philosophy (PhD), Public Health at Université de Montréal
Master's degree, Kinesiology and Exercise Science, Master's degree, Kinesiology and Exercise Science at University of Saskatchewan
Contributions:12 commits, 36 pushes, 1 branch in 3 years 3 months
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Daniel Fuller - Co-Principal Applicant at Good Fit Data