Toward Reliable Synthetic Data: Statistical Distances for Generative Models Evaluation

Lecture video: sorry, no video available at this time

Lecture infos

School: XLV Annual School 2026 – Generative Artificial Intelligence for Bioengineering

Date: 10.09.2026 - 09:45

Speaker

Giuseppe Jurman

FBK Trento

Giuseppe Jurman is a mathematician, with a PhD in Algebra, currently Associate Professor at Humanitas University (Milan) and Head of the Data Science for Health (DSH) Research Unit at FBK (Trento). His main interest is the development and the application of artificial intelligence, machine learning and complex network models for diagnosis, prognosis and prediction in medicine, life science and computational biology, starting from EHRs, omics data and biomedical images, including digital pathology, with a particular emphasis on reproducibility and explainability. He is also interested in scientific programming with Python and other computing languages, and he teaches Informatics and Data Science at Humanitas University.