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Ferdinando Insalata holds a Master's degree in Theoretical Physics from the University of Salerno, with a focus on Statistical Mechanics. He completed his PhD in Mathematics at Imperial College London, where he was a President's PhD Scholar in the Systems Signals group under the supervision of Professor Nick Jones. During his PhD, Ferdinando worked on stochastic modeling of mitochondrial genomics related to muscle aging. He has contributed to the UK Health Security Agency's SIREN study, developing statistical models to assess vaccine effectiveness using serological data, which played a significant role in the national response to the COVID-19 pandemic. Currently, Ferdinando is a Research Associate at Imperial College London, collaborating with Professor Jones and also working jointly with the MRC Mitochondrial Biology Unit at the University of Cambridge, funded by the Wellcome Trust. His research focuses on the analysis and statistical modeling of genomic and transcriptomic data from single-cell experiments, investigating the interplay between mitochondrial genomics, aging, and neurodegeneration. He continues his collaboration with the UK Health Security Agency as a statistical consultant.
Imperial College London • London, United Kingdom
Conducting research in single cell analysis and mitochondrial genomics.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.