Daniel Fuller

Co-Principal Applicant at Good Fit Data

Saskatoon, Saskatchewan, Canada
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy (PhD), Public Health, Doctor of Philosophy (PhD), Public Health at Université de Montréal
bookMaster's degree, Kinesiology and Exercise Science, Master's degree, Kinesiology and Exercise Science at University of Saskatchewan
languagesFrench
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Github Skills (13)

health-data8
health8
healthkit5
firebase4
react-native3
swift3
acceleration3
databases3
cran3
serialization3
transit2
ios2
mhealth1

Programming languages (5)

JavaRObjective-CHTMLPython

Github contributions (5)

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walkabilly/promotion_tenure

Sep 2019 - Mar 2025

Contributions:207 pushes in 5 years 6 months
TeamINTERACT/publications

Jul 2019 - Oct 2022

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