Giulio Volpin is a scientist and project leader at Bayer Crop Science, where he drives innovative research in chemical crop protection. He earned his Ph.D. in Synthetic Organic Chemistry from LMU Munich, Germany, and holds a degree in Pharmaceutical Chemistry and Technology from the University of Urbino, Italy. Specializing in process development and digital transformation, Giulio leads initiatives in route & reaction optimization for new active ingredients as well as laboratory automation and machine learning application projects tailored to organic chemistry. By combining technical expertise with strategic vision, Giulio is contributing to changing how research and development in chemistry are conducted through more efficient, data-driven, and automated processes.
With the growing role of AI in the domain of chemistry, understanding predictions by AI is critical to build trust and enhance human-machine collaboration. With CIME4R, we present an open-source web application designed to facilitate the interaction with complex datasets generated typically encountered in reaction optimization campaigns supported by machine-learning algorithms.
CIME4R aids users by making the parameter space of reactions easier to grasp while elucidating AI model predictions through explainable AI techniques. Developed in collaboration with domain experts, CIME4R allowed users to obtain valuable insights from previous experiments and enhance their decision-making process to derive future experiments.
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