Welcome to my personal web page!
I am Scientific Officer - Computational Statistician at the Joint Research Centre of the European Commission, where I am part of the project Epidemics: Dynamics and Control. Such a project addresses fundamental issues in prevention, preparedness, and response to epidemics.
I am also Research Affiliate at Collegio Carlo Alberto (Turin, IT) as part of the "de Castro" Statistics Initative.
Previously, I worked as postdoctoral researcher at the University of Turin and obtained my Ph.D. in Statistics at Bocconi University (Milan, IT) in 2021, under the supervision of Professors Daniele Durante and Igor Prünster.
My research interests range from Mathematical Statistics to Machine Learning, with a particular focus on computational methods for Bayesian inference. More specifically, I am working on:
Bayesian Modelling and Applied Methodology: Dynamic linear models for binary time series, hidden Markov models, Bayesian binary and categorical regression;
Bayesian Nonparametrics: hierarchical and nested processes;
Computational Statistics: Monte Carlo and sequential Monte Carlo methods, Markov chain Monte Carlo sampling, variational inference.
Epidemiology: models for epidemic dynamics, the patient-zero problem.
I am also a board member of the young section of the Italian Statistical Society (y-SIS) and a member of the following statistical groups:
BayesLab research unit at Bocconi University;
Complex Data Modeling Research Network by MiDas.
e-mail: augusto.fasano <at> ec.europa.eu, augusto.fasano <at> carloalberto.org