j-ISBA board members

Matteo Giordano. Section Chair-Elect

Matteo is an Assistant Professor of Statistics at the University of Turin, in Italy. He is also a Research Affiliate at Collegio Carlo Alberto, Turin, within the "de Castro" Statistics Initiative. His main research interests range across the theory and methodology of Bayesian procedures in complex high- and infinite-dimensional statistical models, with a focus on the frequentist analysis of Bayesian nonparametric procedures in inverse problems, diffusion models and point processes. Matteo obtained his Ph.D. in 2021 at the University of Cambridge, under the supervison of Prof. Richard Nickl. After that, he moved to the University of Oxford for a postdoc within Prof. Judith Rousseau's research group. You can find more about Matteo's work on his website.

Francesca Panero. Section Chair-Elect

Francesca is an Assistant Professor in Statistics at Sapienza University of Rome (Italy) and Visiting Fellow at the London School of Economics and Political Science. She mostly works on Bayesian nonparametric models for complex networks, humanitarian applications and disclosure risk assessment. She is also exploring fair machine learning models and algorithms. Francesca obtained her Ph.D. in 2022 at the University of Oxford, under the supervision of Prof. Caron and Prof. Rousseau. During her PhD years, she interned at the Dalle Molle Institute for AI (Lugano, Switzerland) and at J.P. Morgan (London). From 2022 to 2024 she was Assistant Professor in Data Science at the London School of Economics. You can find more about her website.

Alessandro Zito. Treasurer

Alessandro is a Postdoctoral Fellow at the Department of Biostatistics at Harvard T.H. Chan School of Public Health (Boston, MA), working with Jeffrey W. Miller and Giovanni Parmigiani. He has obtained his Ph.D. at Duke University, under the supervision of David B. Dunson. He is also a research affiliate at the Dana-Farber Cancer Institute of Boston. His research interests are centered around developing Bayesian methodologies to assist practitioners draw scientific conclusions, especially in applications related to cancer genomics and ecology. His work is mostly related to non-negative matrix factorization models, species sampling priors, and general Bayesian nonparametric models. You can find more about Alessandro at his webpage.

Filippo Ascolani. Program Chair

Filippo is currently a Lecturer at the Department of Statistical Science at Duke University and has received his PhD in Statistics from Bocconi University, under the supervision of Antonio Lijoi and Igor Prünster. He is also affiliated to BayesLab, a research unit of the Bocconi Institute for Data Science and Analytics (BIDSA), and to the “de Castro” Statistics Initiative at Collegio Carlo Alberto. Filippo's research interests regard mostly theoretical and computational aspects of Bayesian (parametric and nonparametric) models for dependent data. In particular, he tries to assess the impact of popular probabilistic structures (e.g. in hierarchical models) on posterior inference and computation. You can find out more about Filippo on his webpage.

Jordan Bryan. Secretary

Jordan is a Postdoctoral Trainee in the Department of Biostatistics at the University of North Carolina at Chapel Hill, working under the supervision of Dr. Didong Li and Dr. Haibo Zhou. He received his PhD in Statistics from Duke University, where he was advised by Peter Hoff. His research is organized around developing statistical methods for analyzing multivariate data, particularly those gathered in the natural sciences. You can find more about Jordan at his webpage.