Building a Thriving Statistics Community - One Connection at a Time
Join scientists, researchers, and data professionals in advancing statistical science across all disciplines
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10 years
Years as University Lecturer
My LinkedIn Community Impact
From Passionate Statistics Nerd to International Influencer
Often called a nerd, I prefer to say I am passionate about science 😂. With sound statistics, I believe we can create better science.
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Global authority in biostatistics and causal inference, my authenticity attracts like-minded peers
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Causal Inference in Statistics Newsletter
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Causal Inference in Statistics Book
I am currently writing a comprehensive and authoritative textbook on Causal Inference
Features:
✓ Comprehensive and deep: From causal inference foundations to advanced considerations, my textbooks covers it somewhere with its 700 pages
✓ Code notebooks: Learn with over 10 comprehensive case-study in R and Python code
✓ Exercises: Master the material with over 200 exercises
✓ Community forum and other perks: Book readers have access to an exclusive community forum and other perks – the first Chapter is available for free
The biostatistics.ca Community Mission
More Than Just a Blog - A Comprehensive Statistical Ecosystem
I founded biostatistics.ca to be more than just a blog. Our mission is to create an information-rich community around biostatistics.
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Live Events and Podcasts
I regularly invite experts to discuss statistics and causal inference, with live stream on Youtube and Linkedin
What to expect:
✓ Q&A period: We always take questions from the audience – bring yours!
✓ Resources: We share the best resources we know to grow and learn
✓ International Experts: My network allows me to invite acclaimed experts in an informal setting
✓ Recording available: If you can’t make it live, we always share the recordings
Blogging and Online Writing
I regularly write educational content, code notebook tutorials, and case-studies over at biostatistics.ca
Guidelines and Frameworks in Real-World Evidence (RWE)–Don’t Drown in the Alphabet Soup!
When you design a traditional clinical trial, the path is well-worn. CONSORT tells you what to report, ICH-E9 tells you what to plan, and decades of regulatory precedent tell you...
When Data Lies: Simpson’s Paradox–A Step-by-Step Simulation Code Notebook
Find the RMarkdown Notebook on Github and Run the Code Yourself! Introduction: A Medical Mystery Imagine you’re analyzing data from a clinical trial testing a new treatment. You run a...
Welch’s T-Test for Unequal Variances–A Tutorial With Coding Notebook
Get accces to our free Github Notebook Library to download this code notebook and try for yourself! Welch’s correction is used to account for unequal variances when we test equality...
The Battle For The Soul Of Causal Inference
Explore the decades-long intellectual rivalry shaping how we understand causality in data science. This analysis examines the fundamental tension between two giants of causal methodology: Donald Rubin's potential outcomes framework...
Professional Background & Expertise
"Academic Excellence and Statistical Leadership"
Academic & Professional Background
- 10 Years as University Lecturer: Established educator of complex statistical concepts
- Academic Leadership: Former Chairman and President of Mathematics and Statistics Student Association at Université de Montréal
- Bilingual Expertise: Skilled at explaining complex concepts in both French and English
- Educational Philosophy: "He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English." - Close collaborator
Research & Publication Impact
- Academic Citations:Contributing to high-impact research across multiple disciplines
- Published Collaborations: Co-author on prestigious journal publications including COVID-19 immunity research
- Cross-Disciplinary Research: Working with academics in immunology, virology, nephrology, neurology, epidemiology, psychiatry, social cognition science, agronomy, ecology, and more
- Industry Experience: Collaboration with biotech and biopharma R&D teams, randomized trials and real-world evidence studies
Statistical Specializations
- Core Statistics: Comprehensive expertise in advanced statistical methodology and modelling
- Biostatistics Focus: Specialized applications in biological and health sciences
- Causal Inference: Modern methods for understanding cause-and-effect relationships
- Study Design:Experimental design, methodology, and data analysis
- Machine learning and AI: Industry experience in leveraging big data, algorithms and causal AI
- Consulting Excellence: Helping scientists bring research to life through best statistical practices
Selected Client Testimonials
"Our collaborations have resulted in real business impact."
Victor Kang
Lead Scientist @ Spotta, a biotechnology firm
"His technical expertise and statistical knowledge is exceptional."
Dr. Robert Whitley
Professor, McGill University
“I would happily work with Justin again and definitely recommend him to others needing a statistical consultant.”
Joshua Nasielski
Professor, Guelph University