a little bit about me
I am a neurology registrar and honorary research fellow with the CORe unit. I completed my medical training at the University of Melbourne, wherein I undertook a research internship at the Max Planck Institute for Cognitive and Brain Sciences, applying machine learning to predict unconscious decisions from functional brain imaging data.
My work at CORe examines comparative treatment effectiveness in multiple sclerosis. I am interested in applying advanced statistical methodology (including pattern recognition and predictive modeling) to clinical, paraclinical and economic data to better inform decision making and policy in health care.
- Comparison of switch to fingolimod or interferon beta/glatiramer acetate in active multiple sclerosis
- Every 15-min delay in recanalization by intra-arterial therapy in acute ischemic stroke increases risk of poor outcome
- Predicting free choices for abstract intentions
- Hyperdense middle cerebral artery sign is associated with increased risk of hemorrhagic transformation after intravenous thrombolysis for acute ischaemic stroke
- Tracking the unconscious generation of free decisions using ultra-high field fMRI