The BNP-ISBA board members
Fernando Quintana. Section Chair 2020.
Fernando is a Professor in Statistics at the Department of Statistics, Pontifical Catholic University of Chile. His main research interest lies in Bayesian Nonparametric methods, and their connection to random partition models, including product partition models. Main fields of application include clustering and classification problems, spatio-temporal modeling and problems arising in psychometry. For more information, visit his website.
Subhashis Ghoshal. Section Chair-Elect 2020.
Subhashis is a Distinguished Professor at the Department of Statistics, North Carolina State University, Raleigh, U.S.A. . His current research interests include Bayesian nonparametrics, high-dimensional and graphical models, asymptotic statistics, differential equation models, image processing, functional data analysis et cetra. For more information, visit his website.
Igor Prünster. Past Chair 2020.
Igor is a Professor in Statistics at the Department of Decision Sciences, Bocconi University. His research is mainly focused on Bayesian Nonparametrics and random discrete structures. It includes asymptotics, distribution theory and random measures as well as applications to mixture modeling, survival analysis and species sampling problems. For more information, visit his website.
Alessandra Guglielmi. Program Chair 2020-2021.
Alessandra is a Professor in Statistics at the Department of Mathematics, Politecnico di Milano, Italy. Her main research field has always been Bayesian nonparametrics. Her recent interests focus on mixture models and their connection to random partition models, but also on some applied problems in medicine, healthcare management, and population density dynamics. For more information, visit her website.
Fabrizio Leisen. Treasurer 2020-2021.
Fabrizio is a Professor of Statistics at the University of Nottingham. His research mainly focuses on Bayesian nonparametrics, Bayesian computations and Objective Bayes. Fabrizio's research investigated the use on nonparametric priors in non-exchangeable settings. Applications of his methodologies are in biostatistics, finance, survival analysis, social sciences and network modelling. For more information, visit his website.
Sara Wade. Secretary 2019-2020.
Sara is a Lecturer (Assistant Professor) in Statistics and Data Science at the School of Mathematics, University of Edinburgh. Her research spans Bayesian nonparametrics and machine learning, with an emphasis on clustering and mixture models, density regression, Gaussian processes, and exact and approximate inference techniques. Applications of interest include, but are not limited to, biomedical studies, particularly in dementia and Alzheimer's disease. For more information, visit her website.