I am a computational biologist and postdoctoral fellow at the Dana-Farber Cancer Institute, specializing in the application of machine learning techniques and genomic technologies for multidisciplinary research. My current research focus is on developing predictive models for treatment outcomes and responses in medulloblastoma, tailored to individual patients. Previously, I obtained my PhD at Brown University in Biomedical Engineering, where I developed tools to quantify properties pertaining to the cerebral vasculature, especially using Optical Coherence Tomography. I then implemented these methods along with statistical analysis in the longitudinal tracking of cerebral vasculature in the onset and progression of Alzheimer’s Disease in model mice. Prior to my doctoral studies, I obtained undergraduate degrees in Physics and Applied Mathematics, with an honors degree in Bioinformatics, at the University of Cape Town. It was here that I first engaged in research, studying the prediction of consciousness from EEG signals.