Laurent Heirendt
Founder & CEO at nablify®
Hesperange, Luxembourg
Summary
👤
Senior🎓
Top SchoolLaurent Heirendt is a founder and CEO with a decade of engineering and leadership experience translating high-end analyses and simulations into impactful, budget-conscious solutions. Trained at EPFL, Imperial College London and the University of Toronto (PhD), he blends rigorous academic depth with hands-on technical delivery across strategic academic and industrial projects. He is recognized for reliably steering high-investment efforts across countries and techno-economic boundaries while keeping teams aligned and outcomes measurable. An active contributor to the opencobra/cobratoolbox project, he brings practical expertise in data integration and constraint-based metabolic modeling to his work. Based in Luxembourg, he builds science-driven products at nablify® that prioritize measurable change and engineering quality.
10 years of coding experience
MSc Master of Science, MSc Master of Science at Imperial College LondonBSc Bachelor of Science, BSc Bachelor of Science at Ecole polytechnique fédérale de LausannePhD Doctor of Philosophy, PhD Doctor of Philosophy at University of TorontoDiploma of General Secondary Studies, Diploma of General Secondary Studies at Lycée Robert Schuman Luxembourg
English, French, German, Luxembourgish, Portuguese, Latin
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
constraint10
constraint-satisfaction10
metabolic-models10
python9
data-analysis9
Programming languages (12)
Github contributions (5)
opencobra/cobratoolbox
Mar 2016 - Feb 2020
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
Role in this project:
Backend Developer
Backend DeveloperContributions:10 releases, 2609 commits, 1261 PRs in 4 years
Contributions summary:Laurent's commits indicate a focus on data integration and metabolic model analysis within the COBRA Toolbox. Their contributions involve initializing cells, formatting changes, and modifications within metabolic tools, primarily focusing on the preparation and analysis of integration data, specifically in the context of constraint-based modeling. The user also worked on fixing and implementing several functions. The nature of their work involved in setting up code quality checks.
microbiome-analysisgap-fillingmetabolic-reconstructioncobra-toolboxomics-data-integration
LCSB-BioCore/GigaSOM.jl
Mar 2019 - Aug 2022
Huge-scale, high-performance flow cytometry clustering in Julia
Contributions:7 releases, 16 reviews, 674 commits in 3 years 5 months
k-meanshuge-scalemass-cytometryhierarchical-clusteringartifical-neural-network
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