Laurens Bliek
Assistant Professor at Eindhoven University of Technology
Netherlands
Summary
👤
Senior🎓
Top SchoolLaurens Bliek is an assistant professor and researcher with nine years of experience at the intersection of AI and mathematical optimisation, focused on accelerating the optimisation of expensive, simulator- or human-in-the-loop cost functions using machine learning. He has translated this expertise from PhD work in control and phased array systems to postdoctoral and faculty projects that apply data-driven optimisation to real-world logistics and maintenance problems, notably collaborating with Dutch Railways on train maintenance scheduling. Based in the Netherlands, Laurens pursues sustainability-minded applications—wind and solar energy, public transport, and CO2 reduction—where computationally intensive models meet operational constraints. He combines deep theoretical training in applied mathematics with practical implementations across simulators and optimization toolchains, often tackling problems where evaluation itself is the bottleneck.
9 years of coding experience
3 years of employment as a software developer
VWO, VWO at Zeldenrust Steelant College, TerneuzenMaster of Science (MSc), Applied Mathematics, Master of Science (MSc), Applied Mathematics at Delft University of Technology
Dutch, Portuguese, English, Spanish, German, French
Github Skills (20)
mixed-integer-programming9
power-systems9
benchmarking9
rms9
optimisation9
optimization9
electrical-engineering9
cim8
algorithm7
algorithms7
machine-learning7
helm7
python7
stash6
reinforcement-learning6
Programming languages (4)
Github contributions (5)
lbliek/MVRSM
Mar 2020 - Oct 2022
MVRSM algorithm for optimising mixed-variable expensive cost functions.
Contributions:11 commits, 1 PR, 13 pushes in 2 years 7 months
expensive-cost-functionsmachine-learningmixed-integer-programmingsurrogate-based-optimization
lbliek/DONE_Matlab
Jan 2017 - Nov 2019
Contributions:5 commits, 4 pushes, 1 branch in 2 years 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.