Summary
Samantha Lycett is a Professor of Pathogen Phylodynamics at the Roslin Institute, University of Edinburgh, with 13 years leading computational research into the evolution and spatial spread of animal and zoonotic pathogens. She combines Bayesian phylogenetics, machine learning and simulation to fuse pathogen sequence, environmental and host movement data to infer transmission networks, immune escape and virulence evolution. Her current work spans global avian influenza, rapidly evolving swine and cattle viruses, and SARS-CoV-2, and she plays a policy-facing role as an Early Warning Challenge lead for the EPIC consortium advising the Scottish Government. Trained originally in physics and semiconductor research, she brings quantitative signal-processing rigor to biological sequence analysis and method development. As a group leader and supervisor of multiple PhD students, she bridges technical innovation, applied epidemiology and real-time outbreak decision support.
12 years of coding experience
9 years of employment as a software developer
PhD, Semiconductor Physics, PhD, Semiconductor Physics at Imperial College London
MRes Bioinformatics, MRes Bioinformatics at Newcastle University
Natural Sciences, Physics, Natural Sciences, Physics at King's College, Cambridge