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Monica Pirani is an environmental biostatistician specializing in the development and application of advanced statistical methods to understand human-environment interactions. Her work is grounded in a health perspective, addressing the interconnections between environmental change, ecological systems, and human health. Methodologically, her expertise spans spatial and spatio-temporal statistics, Bayesian hierarchical modeling, time-series analysis, and multi-source data integration. She is particularly interested in Bayesian approaches to data fusion and dimension reduction, extending hierarchical modeling ideas into Bayesian nonparametric statistics. Monica collaborates extensively across disciplines, applying her methods to challenges ranging from environmental climate dynamics to epidemiological and ecological processes. Through her interdisciplinary approach, she aims to produce evidence that is methodologically robust and directly relevant to policy and practice, especially in contexts where populations face high vulnerability to environmental risks. Previously, she held research positions at Imperial College London and the University of Southampton, and she has worked for a decade in Italy at the interface of sociology and statistics.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.