Jonathan Hedley

Jonathan Hedley is a Novo Nordisk Postdoctoral Research Fellow at the University of Oxford, working in Prof. Philip Torr's lab. His research focuses on adapting deep multi-modal generative models to genomic data for predicting cellular responses to genetic perturbations, aiding drug discovery and biological insights. He holds a first-class MSci in Chemistry with Molecular Physics from Imperial College London (2020) and a PhD in Chemical Physics (2024), supported by the President's PhD Scholarship. His doctoral work explored water's role in DNA electrostatic environments.

• MSci: Imperial College London, 2020
• PhD in Chemical Physics: Imperial College London, 2024

Research interests include AI-driven drug discovery, soft condensed matter physics, electrochemistry, and statistical physics. He has pioneered studies on water's structural effects on DNA interactions and electrochemical interfaces. His work bridges computational modeling and experimental biophysics, addressing challenges in genomics and material science.

Key publications span electrochemical interfaces, DNA homology recognition, and water-mediated interactions, published in journals like Journal of Chemical Physics and Physica A. Awards include Imperial's Overall Outstanding Achievement and Excellence in Computational Chemistry awards.

Advising and grants: No formal advisees listed, but contributes to collaborative projects on multi-modal causal representation learning. Active in the Machine Learning Research Group at Oxford.

Labs/teams: Primary affiliation with Prof. Philip Torr's lab and the Machine Learning Research Group.