Isabella Gollini is an applied statistician and Assistant Professor in Statistics at University College Dublin with 11 years of experience developing and applying novel statistical methods across environmental, spatial and networked-data problems. Her work bridges theory and practice—from Bayesian uncertainty quantification for natural hazards at the University of Bristol to geographically weighted regression and an R package (GWmodel) for exploring spatial heterogeneity developed during a research fellowship in Maynooth. She has a strong interdisciplinary track record collaborating with engineers, geographers and computer scientists to deliver actionable insights in social, health and environmental sciences. During her PhD she created latent variable models for visualizing and clustering complex categorical networks, a skill she continues to leverage in cross-domain projects. Based in Dublin and educated in Italy, France and Ireland, she combines international academic training with hands-on software development for reproducible spatial analysis. Colleagues value her ability to translate complex methodology into practical tools and workshops that broaden uptake beyond statistics specialists.
11 years of coding experience
2 years of employment as a software developer
BSc, Mathematical Statistics, BSc, Mathematical Statistics at Università degli Studi di Genova / University of Genoa
PhD, Statistics, PhD, Statistics at University College Dublin
MSc, Statistics, MSc, Statistics at Università di Bologna / University of Bologna
BSc, Computational Statistics, BSc, Computational Statistics at Université de Nice-Sophia Antipolis
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Isabella Gollini - Assistant Professor In Statistics