Rob graduated from the University of Sussex with first class degree in Chemistry. He was the recipient of eight university prizes for academic excellence, including a School of Life Sciences Prize for the best overall degree performance in Chemistry. He won funding from the Royal Society of Chemistry/Nuffield Foundation and a University of Sussex JRA award to undertake summer research projects.
Rob then joined the CANES CDT in the Department of Mathematics at King’s, where he studied applied mathematics for a year (MSc in Non-Equilibrium Systems, awarded with Distinction) before beginning his PhD in the Department of Physics in the Lorenz group. His thesis focused on using molecular dynamics simulations to simulate self-assembling soft matter structures, investigating the behaviour of soft matter interfaces, and applying machine learning techniques to extract new understanding of soft matter self-assembly.
Rob is currently working as a Postdoctoral Research Associate in the Lorenz and Green groups, in collaboration with Dr Nunzianda Frascione (Department of Analytical, Environmental and Forensic Sciences), on a project funded by UKRI that aims to develop new aptamer biosensors for the detection of SARS-CoV-2.
- Molecular dynamics simulations
- Self-assembly of soft matter
- Applications of machine learning to simulations
- Soft matter interfaces
- New analysis tools for molecular simulations
See Rob’s research profile