
Florian Jug received his PhD in computational neuroscience from ETH Zurich. At Human Technopole in Milan, he develops AI methods for the life sciences. His research focuses on generative models, multimodal data integration, and uncertainty quantification to bridge molecular, cellular, and tissue scales. By advancing AI as a trusted partner for biology, his overarching goal is to elevate the rate of scientific discovery through the methods and tools his team develops.