Joost Berkhout
Assistant Professor Of Analytics And Optimization
Amsterdam, North Holland, Netherlands
Summary
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Top SchoolJoost Berkhout is an assistant professor in analytics and optimization with eight years of experience turning operations research into practical solutions for industry and teaching. Based in Amsterdam, he researches mathematical optimization under uncertainty, with deep expertise in Markov chain theory and simulation optimization applied to problems like PageRank and dynamic production scheduling. His work bridges academia and industry — notably developing robust scheduling algorithms for biomaterials manufacturing that handle machine downtime and urgent orders. He teaches optimization courses at Vrije Universiteit Amsterdam while supervising research that connects theoretical insights to real-time decision making. Joost combines rigorous PhD-level theory with hands-on project experience, making complex stochastic models actionable for planners and engineers. An underappreciated strength is his knack for translating Markov-chain-based analysis into scalable heuristics that practitioners can deploy in live operational settings.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Econometrics and Operations Research, Doctor of Philosophy - PhD, Econometrics and Operations Research at Vrije Universiteit AmsterdamVWO Atheneum, Natuur en Techniek, VWO Atheneum, Natuur en Techniek at Jan Arentsz
Dutch, English
Github Skills (38)
cp-sat9
python8
prototyping8
xai8
fundamental7
linear-algebra7
gradient-descent7
blas7
ndarray7
constraint-programming7
mpi7
interpolation7
root-finding7
numerics7
optimization7
Programming languages (3)
Github contributions (5)
JoostBerkhout/XAI
Jun 2018 - Jul 2020
Prototyping about eXplainable Artificial Inteligence (XAI)
Contributions:4 PRs, 30 pushes in 2 years 1 month
xaideep-learningartificialmachine-learningprototyping
JoostBerkhout/PyKDA
Feb 2024 - Jul 2024
Contributions:10 releases, 67 pushes, 2 branches in 4 months
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