Laurent Vermue
CEO at BioLean
Kongens Lyngby, Capital Region of Denmark, Denmark
Summary
🤩
Rockstar🎓
Top SchoolLaurent Vermue is a machine learning engineer and entrepreneur with eight years of experience translating academic research into production-ready sensory and ML systems as CEO and co-founder of BioLean. He holds PhD-level training from DTU and led/translational roles on the TransSense project, combining hands-on technical leadership with project management in sensor-driven process optimization. Laurent’s background spans industrial engineering, international graduate study, and consulting in logistics—giving him a rare blend of domain knowledge in manufacturing and practical ML deployment. He focuses on integrating modern sensing hardware with advanced algorithms to create measurable value in real-world production setups, and his career shows a consistent track record of moving ideas from lab prototypes to operational products. An often-overlooked strength is his cross-cultural academic experience (including time in China and Germany), which informs his pragmatic, systems-level approach to engineering and commercialization.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (B.Eng.), Industrial Engineering and Management, Cum Laude, Bachelor of Engineering (B.Eng.), Industrial Engineering and Management, Cum Laude at Christelijke Hogeschool WindesheimMaster of Science (MS), Wirtschaftsingenieurwesen, 1,2, Master of Science (MS), Wirtschaftsingenieurwesen, 1,2 at Technische Universität BerlinMaster of Science (M.Sc.), Management Science and Engineering, Master of Science (M.Sc.), Management Science and Engineering at 同济大学Technical University of DenmarkBachelor of Engineering (B.Eng.), Engineering and Management, 1,3, Bachelor of Engineering (B.Eng.), Engineering and Management, 1,3 at Jade Hochschule Wilhelmshaven
German, Dutch, English, French, Chinese, Danish
Github Skills (52)
benchmark10
python10
evaluation10
graph10
machine-learning10
benchmarking10
graph-embedding10
deep-learning10
knowledge-graph10
cuda10
nlp10
arxiv10
pytorch9
large-scale9
statistics9
Programming languages (5)
Github contributions (5)
DTUComputeStatisticsAndDataAnalysis/MBPLS
May 2018 - Jan 2020
(Multiblock) Partial Least Squares Regression for Python
Contributions:4 releases, 99 commits, 3 PRs in 1 year 7 months
regressionpythonpartialpartial-least-squaresleast-squares
DTUComputeCognitiveSystems/bayesian_cut
Feb 2019 - Mar 2019
Software package for bayesian graph cutting
Contributions:51 commits, 1 PR, 5 pushes in 17 days
cuttingbayesiangraph
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