Philippe Schwaller
Philippe Schwaller is a chemist and machine-learning researcher who applies language models to chemical synthesis and molecule discovery. After a bachelor's and master's degree in materials science and engineering at EPFL, he spent five years at IBM Research while completing an MPhil in Physics at Cambridge and a PhD in Chemistry and Molecular Sciences at the University of Bern. His Molecular Transformer, published in 2019, treated reaction prediction as machine translation and reached top-1 accuracy above 90% on a common benchmark; RXNMapper followed in 2021, and the ChemCrow chemistry agent appeared in Nature Machine Intelligence in 2024. He received the Hansch Award in 2024 and the Frank Blaney Award in 2025. Since February 2022, he is a tenure-track assistant professor at EPFL, where he leads the Laboratory of Artificial Chemical Intelligence.
- Now at
- EPFL and Institute of Chemical Sciences and Engineering
Timeline
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2018–2019
The Molecular Transformer
With five coauthors including Teodoro Laino and Alpha A Lee, he posts the Molecular Transformer in 2018 and publishes it in ACS Central Science in 2019. The model treats reaction prediction as machine translation between SMILES strings and reaches top-1 accuracy above 90% on a common benchmark dataset.
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2021
RXNMapper and chemical grammar
In 2021, working at IBM Research Europe and the University of Bern, he publishes a Science Advances paper with Benjamin Hoover, Jean-Louis Reymond, Hendrik Strobelt and Teodoro Laino. The paper shows that Transformer neural networks learn atom-mapping information between products and reactants without supervision, and the team builds RXNMapper, an open-source atom-mapping tool, from the attention weights.
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By 2022
EPFL degrees and an IBM PhD
He earns a bachelor's and master's degree in Materials Science and Engineering at EPFL. During five years at IBM Research, he completes an MPhil in Physics at the University of Cambridge and a PhD in Chemistry and Molecular Sciences with the Reymond group at the University of Bern, before joining EPFL in 2022.
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February 2022
A lab at EPFL
In February 2022, he joins EPFL as a tenure-track assistant professor at the Institute of Chemical Sciences and Engineering. He leads the Laboratory of Artificial Chemical Intelligence (LIAC), which works on AI-accelerated discovery and synthesis of molecules.
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2023–2024
The ChemCrow chemistry agent
In April 2023, he and coauthors including Andres M. Bran, Sam Cox and Andrew D. White post ChemCrow on arXiv, and Nature Machine Intelligence publishes it in May 2024. ChemCrow is an LLM chemistry agent that integrates 18 expert-designed tools with GPT-4; it autonomously plans and executes the syntheses of an insect repellent and three organocatalysts and guides the discovery of a novel chromophore.
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2024
The Hansch Award
In 2024, he receives the Hansch Award for his contributions to chemoinformatics and quantitative structure-activity relationships (QSAR). The award honors young scientists under the age of 40 and is presented at the European Symposium on QSAR (EuroQSAR).
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2025
The Frank Blaney Award
In December 2025, the Molecular Graphics and Modelling Society announces that the 2025 Frank Blaney Award, its eighth, goes to him for his contributions to artificial intelligence in chemistry.
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As of October 2026
Assistant professor at EPFL
He is a tenure-track assistant professor at EPFL, where his group develops AI and machine-learning methods for chemical reasoning, synthesis planning, molecular and materials discovery, and experimental optimization. He is also a core PI of the NCCR Catalysis and co-lead of the Science Pillar in the Swiss AI Initiative.
Career
- Since 2022EPFLAssistant Professor
- Since 2022Institute of Chemical Sciences and EngineeringLaboratory Leader
Education
- EPFLBachelor's and Master's degrees
- University of CambridgeMPhil in Physics
- University of BernPhD in Chemistry and Molecular Sciences
Sources and credits
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- [1811.02633] Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
- Extraction of organic chemistry grammar from unsupervised learning of chemical reactions - PMC
- IBM RXN for Chemistry: Unveiling the grammar of the organic chemistry language - IBM Research
- Prof. Philippe Schwaller ‒ LIAC ‐ EPFL
- UNSW School of Photovoltaic & Renewable Energy Engineering - Philippe Schwaller - Language models for accelerated discovery and synthesis
- Conference speaker | Philippe Schwaller | Laboratory of Artificial Chemical Intelligence, EPFL
- EPFL - Philippe Schwaller
- [2304.05376] ChemCrow: Augmenting large-language models with chemistry tools
- Augmenting large language models with chemistry tools | Nature Machine Intelligence
- Philippe Schwaller receives Hansch Award - EPFL
- 8th MGMS Frank Blaney Award: Prof Phillipe Schwaller – Molecular Graphics and Modelling Society
- Philippe Schwaller wins MGMS Frank Blaney Award - EPFL
- Schwaller Group at EPFL – LIAC


