Michela Cameletti is Associate Professor in Statistics at the Department of Economics, University of Bergamo. Previously, from 2008 to 2018, she was Assistant Professor in Statistics at University of Bergamo. In 2001 she graduated in Statistics, Demography and Social Sciences (University of Milan-Bicocca, Italy) and obtained in 2007 her PhD in Statistics from the same University. In 2007 she was research fellow at the Statistical and Applied Mathematical Sciences Institute (NC, USA), in 2011 visiting researcher at NTNU University (Trondheim, Norway), and in 2012 honorary research fellow at the MRC Centre for Environment and Health Department of Epidemiology and Biostatistics, Imperial College London (UK). She leaded the local unity of Bergamo for 2 national projects funded by MIUR (PRIN2015 “Environmental processes and human activities: capturing their interactions via statistical methods" and FIRB 2012 “Statistical modeling of environmental phenomena: pollution, meteorology, health and their interactions”).
Her current research interests include: spatio-temporal models for environmental data, computer intensive methods for estimation and mapping, Bayesian modelling of exposure to environmental risk factors, Bayesian hierarchical models for integrating data from different sources and misaligned in space and time. On these topics she has been actively collaborating with colleagues from foreign research institutes, such as Imperial College London and the Norwegian University of Science and Technology. Her teaching activity at the University of Bergamo, for master and PhD programs, includes the courses of “Probability and Statistics for Business and Finance” and “Machine learning for Economics”.
Most importantly, she is a R-lover (https://www.r-project.org/)!