Biography

I grew up in Vancouver, Canada, and attended Johns Hopkins University where I earned a B.Sc. in Computer Science, minored in Applied Mathematics and Statistics, and pursued premedical coursework. This multidisciplinary training was motivated by my desire to work at the intersection of computational analysis and medicine in translational clinical research, with a focus in paediatric neurology. During my Ph.D. in Paediatrics, I will study the relationship between sleep and newborn brain development using high-density diffuse optical tomography and electroencephalography. Specifically, my project strives to shed light on preterm infant brain development and the emergence of neural networks during sleep. Beyond data collection, my project will leverage novel machine learning approaches to dynamic functional connectivity analysis and examine differences between preterm and term infant sleep. Comparing these cohorts will deepen our understanding of the preterm infant brain and contribute to global efforts aimed at improving neurocognitive outcomes for very preterm infants. Ultimately, I hope to clarify the importance of sleep in order to inform future hospital policies and practices that protect quality sleep for infants everywhere.

Previous Education

University of Cambridge Medical Science (Paediatrics) 2023
Johns Hopkins University Computer Science 2022