Pierre Salvy
Chief Technology Officer at Cambrium
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolPierre Salvy is a CTO who blends deep computational biology research with product-grade engineering to design and manufacture novel proteins and polymers at industrial scale. At Cambrium he built and now runs the closed-loop AI-to-biology platform that shipped NovaColl, a recombinant collagen peptide, to multi-tonne commercial customers—arguably one of Europe’s fastest biotech material launches. Trained at Mines ParisTech and EPFL (Marie Skłodowska-Curie fellow), his PhD produced widely-cited modeling tools and generative kinetic models published in Nature journals and released as open-source toolkits. He scaled bio-production problems earlier at the Amyris–Total partnership, bringing practical experience in purity, cost, and scale-up that directly informs Cambrium’s engineering and lab operations. Pierre uniquely straddles wet lab, machine learning, and cloud infrastructure, running technical partnerships with NVIDIA, Google, Benchling, and Ginkgo while leading technical due diligence for fundraising. Based in Berlin, he joined Cambrium as the second employee and has grown the platform and team from research prototype to production.
11 years of coding experience
3 years of employment as a software developer
Master of Science and Engineering- MScEng Mathematics Physics and Engineering Science, Master of Science and Engineering- MScEng Mathematics Physics and Engineering Science at Mines Paris - PSLDoctor of Philosophy (PhD) Biotechnology, Doctor of Philosophy (PhD) Biotechnology at EPFLMPSI/PSI* Mathematics Physics and Engineering Science, MPSI/PSI* Mathematics Physics and Engineering Science at Lycée Sainte Geneviève
English, Russian, French, Spanish
Github Skills (44)
simulations10
allocation10
stochastic-processes10
transcriptomics10
thermodynamics10
density-estimation10
meta-analysis10
systems-biology10
toolbox9
materials-informatics9
python9
metabolic-models9
flux9
derivative9
constraint9
Programming languages (3)
Github contributions (5)
EPFL-LCSB/etfl
Feb 2018 - Jun 2021
ETFL: A formulation for flux balance models accounting for expression, thermodynamics, and resource allocation constraints
Contributions:2 reviews, 299 commits, 5 PRs in 3 years 4 months
accountingresource-allocationbalancesystems-biologyallocation
EPFL-LCSB/pytfa
Aug 2017 - May 2021
A Python 3 implementation of Thermodynamics-based Flux Analysis
Contributions:5 releases, 391 commits, 40 PRs in 3 years 9 months
pythonanalysissimulationsdensity-estimationmeta-analysis
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