Regular biography
Philippe Schwaller is a Tenure Track Assistant Professor in the Department of CHEM at École Polytechnique Fédérale de Lausanne. He joined EPFL in February 2022 and leads the Laboratory of Artificial Chemical Intelligence, focusing on AI-accelerated discovery and synthesis of molecules. Schwaller is also a core PI of the NCCR Catalysis, a Swiss centre for sustainable chemistry research, education, and innovation. His work combines chemistry, materials science, computer science, and experimental research. He teaches courses on AI for chemistry and offers programming and computational chemistry courses tailored for chemists and chemical engineers.
Scholar-generated biography
Philippe Schwaller is an Assistant Professor at EPFL, specializing in the application of deep learning and machine learning to chemistry. His research focuses on reaction prediction, synthesis planning, and accelerated discovery through the integration of artificial intelligence with chemical processes. Schwaller's work includes developing models for uncertainty-calibrated chemical reaction prediction, leveraging large language models for predictive chemistry, and exploring the use of neural sequence-to-sequence models to predict complex organic chemistry reactions. His research also addresses the extraction of chemical synthesis actions from experimental procedures and the use of transformer-based models for retrosynthetic pathway prediction.