Giovanni Diana is a physicist-turned-statistical scientist with nine years of experience applying hierarchical models and Bayesian inference to time series and network data for both academia and industry. He has held research roles at Institut Pasteur and King's College London and now leads analytical studies at EssilorLuxottica, bridging rigorous theory with applied consulting. His work spans biological and neuroscience problems, offering practical statistical solutions informed by deep theoretical training from a PhD in physics. Giovanni also founded Sampled Analytics to translate advanced inference methods into actionable insights for clients, demonstrating an ability to move methods from lab to practice. Notably, his background includes research on information flow and thermodynamic bounds, giving him a rare perspective on the physical principles underlying stochastic processes. Based in Île-de-France, he combines academic credibility with industry delivery to tackle complex data challenges.
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