Davide Pigoli

Davide Pigoli is a Senior Lecturer in Statistics at King's College London, based in the Department of Mathematics within the Faculty of Natural, Mathematical & Engineering Sciences. He holds a Ph.D. in Mathematical Models and Methods in Engineering from Politecnico di Milano, Italy (2013). Before joining King's in 2017, he held research positions at the University of Warwick and the University of Cambridge.

His research focuses on functional and high-dimensional data analysis, manifold-valued data, spatial statistics, and applications in linguistics, forensics, and biosciences. Key contributions include work on covariance operators, Kriging methods for Riemannian data, and statistical modeling of linguistic and acoustic phonetic data. Recent projects include analyzing vocal audio data for COVID-19 screening and developing optimal experimental designs.

Pigoli has co-authored over 19 peer-reviewed publications, including studies on machine learning in public health and forensic entomology. He contributed to the EPSRC-funded project 'Multi-objective optimal design of experiments' (2020–2025). His work aligns with UN Sustainable Development Goals, particularly in health and innovation.

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