Daniel Fuller
Co-Principal Applicant at Good Fit Data
Saskatoon, Saskatchewan, Canada
Summary
👤
Senior🎓
Top SchoolDaniel 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.
11 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 MontréalMaster's degree, Kinesiology and Exercise Science, Master's degree, Kinesiology and Exercise Science at University of Saskatchewan
French
Github Skills (17)
acceleration9
health8
health-data7
cran5
databases5
healthkit4
database4
mobile3
transit2
serialization2
self-supervised-learning2
mhealth2
machine-learning1
data-science1
foundation-models1
Programming languages (6)
Github contributions (5)
TeamINTERACT/publications
Jul 2019 - Oct 2022
Contributions:12 commits, 36 pushes, 1 branch in 3 years 3 months
TeamINTERACT/onboarding
Jun 2018 - Feb 2024
Document for onboard trainees and collaborators to working with R, databases, Github, etc.
Contributions:5 PRs, 36 pushes, 1 branch in 5 years 8 months
databasedatabases
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