Current Students

Chemical kinetics prediction using machine learning

High-throughput single-molecule tracking of the bacterial diffusome

Multiscale molecular simulations to understand antimicrobial resistance

Using machine learning to optimise qubit control

Design rules for cyclic peptide conformers

Quantum computing simulations in materials science

Complete Electronic Responses in Simulation (CERSi)

Targeted design of small molecules using advanced machine learning approaches

Development of quantum computing algorithms to explore cyclic peptides

Error correction and detection in variational quantum algorithms