Jean-paul Soucy

Data Scientist

Old Toronto, Ontario, Canada
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Summary

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Senior
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Top School
Jean-paul Soucy is a data scientist with eight years of experience applying statistical and machine learning methods to healthcare and public health problems. He holds a PhD in epidemiology from the University of Toronto (Vanier Scholar) and has built and maintained complex ETL pipelines and public data APIs used by researchers, journalists, and government during the COVID-19 pandemic. Jean-paul co-led the COVID-19 Canada Open Data Working Group and created the Canadian COVID-19 Data Archive, the largest public collection of pandemic-related Canadian data and documents. He has worked across government, academia, and industry—supporting the Public Health Agency of Canada, advising organizations like WHO, and contributing to AI-driven drug-discovery at Biossil. A seasoned educator and communicator, he has lectured at McGill and written for major outlets on AI and health policy. He combines rigorous epidemiologic training with practical engineering skills to turn heterogeneous health data into actionable insight.
code8 years of coding experience
job1 year of employment as a software developer
bookPhD, Epidemiology, PhD, Epidemiology at University of Toronto
bookHonours BSc, Biology; Minor Mathematics, Honours BSc, Biology; Minor Mathematics at University of Ottawa
bookMSc, Epidemiology, MSc, Epidemiology at McGill University
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Github Skills (44)

corona10
datasets10
azerothcore10
survival9
r-package9
trinitycore9
ppi8
virtual-screening8
statistics8
visualization8
r8
bioinformatics7
side-effects7
prediction7
data-visualization6

Programming languages (7)

TypeScriptJavaRC++RezJupyter NotebookPython

Github contributions (5)

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ccodwg/Covid19CanadaBot

Dec 2021 - Apr 2024

Contributions:252 pushes, 3 branches, 36 comments in 2 years 4 months
Process Canadian COVID-19 Data
Contributions:11 PRs, 274 pushes, 14 branches in 2 years 6 months
canadiandata-science
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