Jonah Conley graduated with an MPhys in Theoretical Physics in 2021 and has completed an MSc in Data Science and A.I. in 2022, both from the University of Liverpool. 

His dissertations covered a derivation from first principles and investigation of the properties of the Schwarzschild line element of a black hole (theoretical physics) and testing the predictive power of a neural network designed to predict chemical information from crystal structures (data science).

Jonah joined LIV.INNO as an associate PhD student in October 2022, based primarily at the Liverpool John Moores University Astrophysics Research Institute (ARI).