Pascal Miéville

Dr. Pascal Miéville serves as Operational Director of the Catalysis Hub - Swiss CAT+ at École Polytechnique Fédérale de Lausanne (EPFL), holding concurrent Senior Scientist positions in the Institute of Chemical Sciences and Engineering (ISIC) and School of Chemistry and Chemical Engineering (SCGC). His leadership focuses on developing automated, data-driven infrastructure for homogeneous catalysis discovery and optimization.

His academic credentials include:

• PhD in hyperpolarized NMR from EPFL under Prof. G. Bodenhausen
• Master's degree in Chemistry from EPFL
• Master in Public Administration (MPA) from IDHEAP at UNIL specializing in public finances

Miéville's research bridges traditional chemistry with digital innovation through three core domains: Nuclear Magnetic Resonance, Automation in Chemistry, and Digital Chemistry. With 15 years of pharmaceutical industry experience at Bracco Research developing MRI contrast agents, he brings practical expertise to his current mission of creating fully automated laboratory systems. His work represents a paradigm shift toward data-intensive chemical research where algorithms drive experimental design and analysis.

His publication record demonstrates consistent expertise in NMR techniques, particularly dynamic nuclear polarization, with applications spanning materials science, medical imaging, and environmental chemistry. Recent work increasingly focuses on integrating automation systems with chemical workflows, reflecting his leadership in the emerging field of digital chemistry laboratories.

As an educator, Miéville teaches digital and automation chemistry to Master's students at EPFL, preparing the next generation of chemists for data-driven laboratory environments. His leadership of the Swiss CAT+ West Hub has positioned him at the forefront of chemical research innovation, though specific scientific awards aren't documented in the provided materials.

The Swiss CAT+ West Hub under Miéville's direction operates as a cutting-edge testbed for automated chemistry, combining robotics, machine learning, and systematic data collection to accelerate catalysis research. This infrastructure enables high-throughput experimentation with rigorous data capture, facilitating machine learning applications that optimize catalytic systems more efficiently than traditional methods. The hub exemplifies Miéville's vision of chemistry's digital transformation.