I am a postdoctoral researcher in statistics and data science within the Methods for Big Data research group at the Scientific Computing Center (SCC) of the Karlsruhe Institute of Technology (KIT).
I am interested in Bayesian statistics for the analysis of high-dimensional data, focusing on both theoretical and computational aspects, as well as experiencing interesting applications. My current work focuses on approximate Bayesian inference for variable selection and change-point detection in complex settings.
My research interests include: Bayesian inference, change-point detection, computational methods, dependent data, high-dimensional statistics, network regression, spatial statistics, time series analysis, time-varying parameter, variable selection, variational approximations.
Download my Curriculum Vitae.
PhD in Statistics, 2023
University of Padova
MSc in Statistical Sciences, 2019
University of Padova
BSc in Statistics for Economics, 2017
University of Padova
Excited to communicate that on the 15th of September I will start a new position as a postdoctoral research scientist in the Scientific Computing Center at the Karlsruher Institut fΓΌr Technologie! I will become part of the KleinLab - Methods for Big Data (https://kleinlab-statml.github.io/) led by Prof. Nadja Klein.