Method Development
- Density functional global optimisation
- DFT software development and implementation (TURBOMOLE)
- Development of neural network potentials and active/delta learning methods
- Machine learning based enhanced sampling schemes for reactive modelling
- Development of machine learning predictors of spectroscopic observables
- Grand Canonical Monte Carlo schemes
