Fitxa persona

Gherardo Varando is an Assistant Professor (Profesor Ayudante Doctor) in the Department of Statistics and Operational Research at the Universitat de València. He earned his PhD in 2018 from the Universidad Politécnica de Madrid, specializing in theoretical studies of Bayesian network classifiers. Following a postdoctoral stay at the University of Copenhagen, he served as a postdoctoral researcher within the Image and Signal Processing (ISP) group at the Universitat de València between 2020 and 2025. His research focuses on the development of statistical and machine learning methods, specifically regarding causal discovery in spatio-temporal data, probabilistic graphical models such as staged trees, and the application of uncertainty quantification to Earth system sciences. He has published his work in high-impact venues including Nature Reviews Earth and Environment, the Journal of Machine Learning Research, and the Journal of Statistical Software, as well as in leading machine learning conferences such as NeurIPS, AISTATS, and UAI. He is also a co-author of the stagedtrees R package. Beyond his research, he was involved in the organization of AISTATS 2022 as Publicity Chair and serves as Program Chair for PGM 2026.