Michiel Broek is a Lead Data Scientist with nine years of experience turning complex national healthcare and logistics data into operational decisions, currently shaping acute care analytics at LNAZ and product strategy for national medicine supply at LCG. He holds a cum laude MSc and PhD in Operations Research and brings deep expertise in forecasting, stochastic decision-making and (discrete) optimization, implemented in production with C++20, R, Python and Azure. His career spans academic awards for a novel deterioration-production model to industry-facing algorithms that solve real-time container scheduling and national ICU forecasting problems. Comfortable bridging research and product, he designs data architectures, leads small teams, and translates model outputs into policy-ready insights. An unusual strength is combining low-level algorithm engineering (C++/CPLEX/SCIP) with hands-on national healthcare operational deployments that influence both hospitals and European suppliers.
9 years of coding experience
8 years of employment as a software developer
VWO NT + NG, VWO NT + NG at St. Canisius
Master's Degree Cum Laude, Master's Degree Cum Laude at University of Groningen
Contributions:12 PRs, 53 pushes, 3 branches in 15 days
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