Nazareno
Campioni
Researcher
Research interests:
My research interests lie at the intersection of mathematical modelling, ecology, and data science. I am interested in the development and application of statistical and machine learning models to study animal behaviour and movement, with a focus on integrating behavioural state inference with environmental and physiological data. I am also interested in exploring bioenergetic modelling and the use of continuous-time frameworks to better understand the drivers of movement and behavioural variability in marine species.
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Biography:
I joined COISPA as a researcher in June 2025, where I contribute to projects combining quantitative ecology and machine learning. I hold a Bachelor’s degree in Mathematics and a PhD from the University of Glasgow, where my research focused on novel applications of machine learning in the study of animal movement. My work explored how to infer behavioural patterns from animal tracking data by building multi-state state-space models with semi-Markov behavioural dynamics. At COISPA, I am involved in analyses on blue sharks, using machine learning to study both blood parameters and movement patterns through continuous-time hidden Markov models, aiming to better understand physiological states and behavioural strategies in marine predators.