Pascal holds a PhD in Physical Chemistry from EPFL with a specialization in hyperpolarized NMR. After an experience in the pharmaceutical industry, he took over the leadership of the EPFL NMR platform. From this platform, he took over the direction of the Swiss Cat+ West Hub project in 2020, an automated and data-driven infrastructure dedicated to the discovery and optimization of homogeneous catalysis. In this context, he has written several articles and book chapters on laboratory automation and teaches this domain to EPFL chemistry master students.
E2E DMTL - (Modular, Scalable, Versatile)ˣ introduces a revolutionary approach to chemical research through closed-loop machine learning systems that automate the Design-Make-Test-Learn cycle. The system leverages the Chemspeed platform's OpenAPI to create a seamless integration between AI-driven experimental design, automated synthesis, and integrated analysis. This end-to-end automation enables autonomous optimization, continuous learning, and rapid exploration of chemical space while enhancing safety and reproducibility. By eliminating manual intervention and standardizing workflows, the system dramatically accelerates the discovery process and optimizes reaction conditions, transforming traditional chemical research into an efficient, data-driven endeavor.
From Humanoid bipedal robots to dual arm and drones.
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