William van Doorn
Hi, I’m William. I’m currently a resident in clinical chemistry at Maastricht University Medical Center. I also have a passion for building (digital) stuff.
This website is my personal corner on the web, where I share my writing, projects, tutorials, and whatever else inspires me. You can explore my blog or check out the projects page to see some of my open-source work.
The site is completely ad-free, with no affiliate links, tracking, or paywalls—just a space for me to express myself and share what I’ve learned. My goal is to inspire others to create their own digital spaces and explore their creativity.
Feel free to contact me by email at wptmdoorn at gmail.com!

Blog
Explore my thoughts on clinical chemistry, technology, and more through my blog posts. Here are a couple of highlights:
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Methcomp: the Python package for method comparison
Laboratory medicine is amongst the fastest growing specialities in medicine, being crucial in the diagnosis, prevention and in monitoring of diseas...
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How do we trust Machine Learning algorithms in Medicine?
Recent advancements in machine learning (ML) have paved the way for deploying machine learning-based decision support systems in various sectors, i...
Research
My research focuses on advancing clinical chemistry and healthcare through innovative methods, including machine learning and biomarker studies. Below are some of my recent publications—check out the full list for more!
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Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes (2024)
Helene Bei Thomsen, Livie Yumeng Li, Anders A. Isaksen, and Adam Hulman
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Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models (2024)
Remy J. H. Martens, William van Doorn, Mathie P G Leers, and Floris Helmich
Software
Check out some of my open-source projects that showcase my passion for building digital tools. Here are a couple of highlights:
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Traffic Analyzer
Analyze your home - work commute using Google Maps API and Python
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Clinical Chemistry - Quiz App
A quiz app for clinical chemistry students using R and the Shiny package
Contact
Feel free to reach out to me via email at wptmdoorn@gmail.com.
Alternatively, you can connect with me on social media: