Damien Coupry

Damien Coupry is a Scientific Leader at GSK since February 2019, specializing in Molecular Design, where expertise includes training Graph Neural Networks and traditional machine learning techniques for QSAR models, deploying ADME-Tox models, and focusing on uncertainty and applicability quantification. Previous roles include a postdoctoral researcher at Technische Universität Dresden and a PhD student at Leipzig University, where foundational work involved developing modular tools for Metal-Organic Frameworks design and property prediction. Damien Coupry has also provided scientific consulting, developed neural networks for environmental modeling, and enhanced computational frameworks in chemistry and materials Science. Educational background features a Diplôme d'ingénieur in Chemistry from Ecole Nationale Supérieure des Ingénieurs en Arts Chimiques et Technologiques.