
Research data scientist and machine learning engineer; background in experimental physics, signals analysis, and software engineering; professional experience in technical consulting, business process automation, and data analytics; a passion for generative learning models and computational optimisation.
Current research at UNSW focuses on the study of electrochemical defect mechanisms in silicon photovoltaics; modelling state-space dynamics using generative representation learning to investigate underlying physical mechanisms; more broadly, utilising recent developments in machine learning to model complex dynamic systems.
My Research Supervision