Machine Learning & Data Science
- Aliverti Emanuele: Bayesian statistics, computational methods, network data, variational inference
- Arpino Bruno: Family relations, ageing, social determinants of health, causal inference, machine learning
- Bernardi Mauro:Model selection, high-dimensional statistics, quantile regression, functional data analysis, variational methods
- Canale Antonio: Bayesian Nonparametrics, Factor Analysis, Extreme Value Theory, Functional Data Analysis, Causal Inference
- Cattelan Manuela: modelling categorical dependent data, pseudo-likelihood methods
- Cortese Giuliana: Efficient estimation, Inverse-probability-censoring-weighted estimators, Semi-parametric regression models, Recurrent events data, Survival analysis
- Denti Francesco: Bayesian Statistics, Mixture Models, Bayesian Nonparametrics, Shrinkage and Regularization, Model-based Clustering
- Finos Livio: nonparametric statistics, multivariate analysis, resampling based method, neuroscience, biostatistics
- Lisi Francesco: Time series, Statistical models and methods,Data Analysis, Energy markets, Tennis analytics
- Menardi Giovanna: clustering, nonparametric methods, application to physics, classification, computational statistics
- Risso Davide: high-dimensional data, factor analysis, omics data, graphical models, clustering
- Ruli Erlis: computer vision, deep learning, image classification, LLM
- Saraceno Giovanni: Robust Statistics, Goodness-of-fit, Directional Statistics, Neural Networks, Kernel-based methods
- Scarpa Bruno: Data Mining and Big Data, Data science for Marketing, Spatio-Temporal Analysis, Bayesian Statistics, Functional Data Analysis, Statistics for Cycle Biometry
