Towards optimal chemical space search with generative virtual screening Efficiently searching virtual chemical space is central to discovering new chemical matter. Traditionally, virtual screening of enumerated libraries and related approximations has been used to navigate accessible subsets of…
03.03.2026 15:15 16:15 Intervenant·e: Morgan Thomas is a Postdoctoral Fellow at Khalifa University in Abu Dhabi, where he leads machine learning in medicine initiatives with Prof. Andreas Bender. Following his experience on the AstraZeneca Graduate Programme, he received his PhD from the University of Cambridge sponsored by Nxera Pharmaceuticals. He conducted his first postdoctoral fellowship with Prof. Gianni de Fabritiis at Universitat Pompeu Fabra supported by a Johnson & Johnson Innovative Medicine Grant. His research focuses on machine learning methods to automate and improve drug discovery, particularly through generative AI, structure-based principles, and benchmarking frameworks. He consistently works at the interface of academia and industry, grounding his research in practical application.Catégorie: Conférences – SéminairesPublic cible: Tout public
