Trained as a statistician, I am passionate about integrating statistical innovation with clinical insights to inform evidence-based clinical decisions. Much of my recent work focuses on leveraging observational data to explore prognosis and treatment outcomes in paediatric multiple sclerosis.

My research has been supported by the MSBase Foundation Fellowship and is currently funded by a MS Australia Postdoctoral Fellowship. My current research interests include prognostics, heterogeneous treatment effects, personalized treatment approaches, joint modelling, Bayesian statistical methods, and causal inference.