I co-founded Precision Analytics with Erika, also holding a PhD from McGill and am an accredited statistician. While overseeing our team of data scientists and software developers, I still love to have a role in hands-on programming and of course, anything Bayesian!
Statistical Society of Canada Annual Meeting, 2026 - AI and The Case for an Audit-First Mindset
As you delegate more to a model, your job shifts from doing the work to auditing it.
Read MoreTakeaways from SAVY 2.0 - One Health, Shared Challenges, and the Promise of AI
Whether it’s herd health or human diagnostics, the challenges of limited data, complex models, and regulatory rigor are surprisingly universal.
Read MoreAre meta-analyses always overpowered? Not quite.
This statement is often presented as a given, but is it actually true? While it’s easy to see why people might believe it, the reality is far more nuanced.
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A primer on bioinformatics
Bioinformatics has many definitions, but is generally considered an applied discipline that uses statistics and computer science to study biological phenomena.
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CSCDS Data Science Expo presentation
A talk about how to successfully transition from an undergraduate or graduate degree to a data science career
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A gentle INLA tutorial
INLA is a nice (fast) alternative to MCMC for fitting Bayesian models
Read MoreAccreditation of statisticians in Canada
The benefits of receiving an accreditation as an associate statistician from the Statistical Society of Canada
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