About me

I am a Research Associate at the Adelaide Institute for Sleep Health under the supervision and mentoring of Danny Eckert. My research program aims to improve diagnostic and management of sleep disorders for all, using technology including machine learning and wearables. I am particularly interested in understanding the physiological mechanisms, consequences and potential treatment target arising from night-to-night variability in obstructive sleep apnoea.

My PhD work addressed knowledge gaps regarding the consequences of disrupted sleep on health, as well as using machine learning to detect and treat sleep disorders and their pathology more efficiently. I specifically focused on the impact of sleep fragmentation on health and developed new biomarker of brain activity during sleep predictive of all-cause mortality, sleepiness, and cardiovascular health.