Summary
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, Cum Laude, VWO, NT + NG, Cum Laude at St. Canisius
Bachelor's Degree, Econometrics & Operations Research, 7.4 / 10, Bachelor's Degree, Econometrics & Operations Research, 7.4 / 10 at Rijksuniversiteit Groningen
Master's Degree, Cum Laude, Econometrics, Operations Research and Actuarial Science (77 EC), 8.7 / 10, Master's Degree, Cum Laude, Econometrics, Operations Research and Actuarial Science (77 EC), 8.7 / 10 at University of Groningen
Dutch, English