Sébastien Sueron

Sébastien Sueron is a Postdoctoral Research Fellow in the Molecular Machine Learning group. He holds an MSc in Chemistry from the University of Montpellier, with a background in organic and analytical chemistry. He obtained his PhD in Organic and Medicinal Chemistry in 2024 from the Faculty of Pharmacy at the University of Rennes. His doctoral work focused on hit-to-lead optimisation of a kinase inhibitor showing promising activity in a murine in vivo model, alongside an induced degradation approach on the same therapeutic target. In late 2023, he spent a few months at the University of Gothenburg where he discovered computational chemistry and developed a pipeline to accelerate the identification of functional PROTAC degraders. With an experimental background, he joined the MolML group in 2025 to further explore the computational side of chemistry through AI-driven generative models for drug discovery.