Studying how complex models can be analysed and represented in ways that make their predictions, decisions, and learned behaviour more transparent.

Model Interpretability Policy Interpretation Behavioural Analysis

Using mathematical and computational methods to represent and analyse scientific and engineering systems, with an emphasis on structure, physical consistency, and data-driven model construction.

Mathematical Modelling Symbolic Regression Optimisation

_{Research Assistant · The Hong Kong Polytechnic University}

Investigating interpretable representations of reinforcement-learning policies for constrained energy-management problems.

Reinforcement Learning Interpretability Energy Systems

Ongoing research

_{Research Assistant · University of Nottingham Ningbo China}

Developing compact analytical models of chiller performance from operational data using symbolic regression, with emphasis on generalisation and physical consistency.

Symbolic Regression Energy Modelling Optimisation

_{Visiting Student · Shenzhen Bay Laboratory}

Discovering analytical interaction potentials from molecular-simulation data while balancing predictive accuracy, mathematical complexity, and physical fidelity.

Symbolic Regression Molecular Modelling Scientific Computing

Mathematical modelling and numerical simulation of braking dynamics in physical systems.

Mathematical Modelling Dynamical Systems Numerical Methods