I am an Assistant Professor of Statistics at the Department of Decision Sciences of the Bocconi University.
I graduated in Statistical Sciences at the University of Padova on April 2016. I am currently an Assistant Professor at the Department of Decision Sciences of the Bocconi University working on Bayesian modeling of high-dimensional and object-type data.
The focus of my research is on developing flexible statistical models to provide accurate inference for complex data sets. My research interests are:
Many fields of research provide increasingly complex data — e.g. networks, functions, tensors, and others — along with novel motivating applications. In approaching these data sets it is important to rely on parsimonious representations which make the problem tractable and provide interpretable inference procedures. However, in reducing complexity, it is fundamental to avoid restrictive statistical models that lead to inadequate characterization of relevant patterns underlying the observed data. The focus of my research is on developing flexible statistical models to provide accurate inference for complex — typically object-type — data.
Teaching is a stimulating experience and I think a good instructor is a careful mixture of enthusiasm, trustworthiness, availability, clarity of exposition, and ability to engage students’ attention with entertaining case studies building stimulating bridges between methods and practice. Any time I start a new teaching experience, I try to merge these qualities. Refer to my for the current courses I am teaching and to my for a complete list of past courses
Teaching Statistics can also explore other occasions to foster the enthusiasm of undergrads, masters and Ph.D. students, encourage their dialogue with other disciplines and stimulate their creativity in analyzing real data sources.
Department of Decision Sciences, Bocconi University
Via Roentgen, 1, 20136 Milano Italy. Office 3D1-05
daniele DOT durante AT unibocconi DOT it
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