Summary
Sarah Morgan is a Senior Lecturer at King's College London who leads a UKRI Future Leaders-funded research group applying machine learning, network science and NLP to understand development, cognition and mental health. With nine years of research experience spanning a PhD in theory of condensed matter from Cambridge to fellowships at The Alan Turing Institute and Accelerate Science, she blends deep theoretical physics training with practical data science for neuroimaging and mental-health applications. Her work is notable for translating atomistic modelling and open-quantum-dynamics expertise into novel computational approaches for complex biological and behavioural data. Based in Cambridge, she combines academic leadership, cross-disciplinary collaboration, and policy experience from a BIS secondment, reflecting an ability to navigate both technical and strategic landscapes.
9 years of coding experience
4 years of employment as a software developer
A-levels, Physics, Maths, Further Maths, Chemistry and AS level French, A grades, A-levels, Physics, Maths, Further Maths, Chemistry and AS level French, A grades at Peter Symonds College, Winchester
Doctor of Philosophy (PhD), Theory of Condensed Matter, Physics, Doctor of Philosophy (PhD), Theory of Condensed Matter, Physics at Cambridge University
Master of Physics (MPhys), Physics, 1st Class Honours, Master of Physics (MPhys), Physics, 1st Class Honours at University of Exeter
French