Damien Coupry
Scientific Leader at GSK
Stevenage, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDamien Coupry is a Scientific Leader and computational chemistry researcher with 11 years of experience combining solid-state physics, molecular simulation and machine learning to drive small-molecule discovery at GSK. He holds a PhD in computational physical chemistry and a background building modular in-silico materials tools, Graph Neural Networks for QSAR, ADME-Tox models with uncertainty/applicability quantification, and molecular generation workflows. Proficient in Python, Fortran and C++, he has a track record of deploying ML in both industry consulting projects and large multinational teams, including work on federated and active learning and Bayesian experimental design. Known for pragmatic creativity, he also applied ML to environmental and perfumery problems earlier in his career, reflecting a breadth that spans theoretical method development to practical, production-focused modelling. Damien is seeking roles that allow him to move into management while staying close to hands-on science, with a preference for remote work.
11 years of coding experience
2 years of employment as a software developer
Diplôme d'ingénieur, Chimie, Diplôme d'ingénieur, Chimie at Ecole Nationale Supérieure des Ingénieurs en Arts Chimiques et TechnologiquesChimie, Chimie at CPP- La prépa des INPBaccalauréat, Baccalauréat at St-Sernin Toulouse
English, Spanish, French, German
Github Skills (19)
statistics9
huggingface9
data-analysis8
python8
scikit-learn8
machine-learning8
pytorch8
data-science7
scikit7
datasets6
neural-network5
pytorch-geometric4
graph-representation-learning4
descriptor3
calculator3
Programming languages (2)
Github contributions (5)
DCoupry/autografs
Oct 2016 - Oct 2021
Contributions:124 commits, 91 pushes, 1 branch in 5 years
DCoupry/MOF-NN
Sep 2017 - Aug 2018
Contributions:6 pushes, 1 branch in 10 months
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