Maarten Dobbelaere

dr. ir. Maarten Dobbelaere is a postdoctoral researcher in AI for chemistry at the Laboratory for Artificial Chemical Intelligence at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.

He earned his BSc and MSc degrees in chemical engineering from Ghent University in Belgium, and completed a semester abroad at the Norwegian University of Science and Technology. In 2025, he received his PhD in Molecular Machine Learning for Chemical Reaction Engineering from Ghent University. During his doctoral studies, he was supported by a personal fellowship from the Research Foundation - Flanders (FWO) and gained experience as a research intern at Sabic in the Netherlands and Texas, USA. He then obtained a postdoctoral fellowship from FWO and conducted research at the Green Chemistry Centre of Excellence at the University of York, UK, before relocating to Switzerland.

His research focuses on the use of graph machine learning and language models to accelerate the design, screening, and synthesis of new pharmaceuticals, with an emphasis on sustainability and real-world applicability. His ML models are available as open-source models and are trusted by world-leading pharmaceutical companies.