Pieter Coussement
Software Team Lead at BioLizard
Ghent Metropolitan Area Belgium
Summary
👤
Senior🎓
Top SchoolPieter Coussement is a Director of Technology who blends a PhD in Metabolic Engineering with nine years of hands-on engineering leadership to remove the data bottleneck in life sciences. He builds cloud-native, production-grade data platforms and ML workflows that let biotech R&D scale, combining deep domain knowledge in synthetic biology and fermentation with strong GCP, Python, R and database (Postgres, InfluxDB, Neo4j) skills. Pieter has led cross-functional teams at BioLizard and ML6, moving organizations from manual lab processes to automated, containerized infrastructures (LXD/Docker) and operator-friendly web tools. He is equally at home designing metabolic pathways and shipping the pipelines that capture, analyze and visualize lab data, having authored analysis packages and R Shiny/Grafana dashboards. Based in Ghent, he seeks leadership roles where technical vision meets biotech strategy, and he brings the uncommon advantage of lab-to-cloud credibility—he speaks both “Python” and “Protein.”
9 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) industrial engineering; biochemistry, Master of Science (M.S.) industrial engineering; biochemistry at Katholieke Hogeschool 'Sint-Lieven', Gentmaster of bioscience engineering Chemistry and Bioprocess Technology, master of bioscience engineering Chemistry and Bioprocess Technology at Ghent UniversityWetenschappen-Wiskunde (8u), Wetenschappen-Wiskunde (8u) at Bisschoppelijk College Veurne
English, Dutch, French
Github Skills (161)
python10
deep-learning10
cpp10
high-performance10
machine-learning-models10
machine-learning10
drawing9
neural-network9
bioinformatics9
tensorflow9
genbank9
fasta8
ml8
flask8
addin8
Programming languages (10)
Github contributions (5)
picousse/gRowthAnalysis
Jul 2019 - Nov 2019
Contributions:19 pushes, 1 branch in 4 months
picousse/serving
Jul 2021 - Nov 2021
A flexible, high-performance serving system for machine learning models
Contributions:6 pushes in 4 months
servingmachine-learningperformancehigh-performancemachine-learning-models
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