Summary
Ferdinando Insalata is a computational biologist and applied mathematician with eight years’ experience at the intersection of stochastic modelling, Bayesian statistics and AI for biomedical research and public health. He holds a PhD from Imperial College London and combines joint postdoctoral roles at Imperial and the University of Cambridge investigating how mitochondrial genomics drives ageing and neurodegeneration using single-cell stochastic models. Concurrently a Senior Statistician at the UK Health Security Agency, he has led large-scale real-world analyses for COVID immunity studies, including first-author work in the New England Journal of Medicine. His background spans industrial deep learning—accelerating convolutional hardware and building transformer and segmentation models—and academic statistical physics, giving him a rare blend of theoretical depth and production-facing AI experience. Multilingual and internationally mobile, he also volunteers as a tutor and mentor and brings a persistent curiosity that connects rigorous maths to tangible public-health impact.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Physics, 110 cum laude/110 (First Class), Bachelor's degree, Physics, 110 cum laude/110 (First Class) at Università degli Studi di Salerno
Doctor of Philosophy - PhD, Mathematics, Awarded with no corrections, Doctor of Philosophy - PhD, Mathematics, Awarded with no corrections at Imperial College London
High School Diploma, Mathematics and Sciences, 100 cum laude/100, top 0.7% of students in Italy., High School Diploma, Mathematics and Sciences, 100 cum laude/100, top 0.7% of students in Italy. at Liceo Scientifico A. Galotta
Italian, English, French, Spanish, Portuguese