About Me

I am an MD-PhD candidate at Duke University, pursuing my PhD in Electrical and Computer Engineering (ECE) at John Pearson’s lab. I am affiliated with the School of Medicine, the Department of Electrical and Computer Engineering, and Duke’s MSTP program.

My PhD is focused on developing novel statistical machine learning analysis tools tailored towards specific problems in neuroscience and biomedical research. From a machine learning standpoint, I am broadly interested in deep generative models (i.e., VAEs, Diffusion-Based Models, Flow Matching) and in utilizing such models to learn compressed, and interpretable representations from high-dimensional data, while also providing estimates of error and uncertainty.

From a clinical standpoint, I am interested in becoming a neuroradiologist and in utilizing my joint clinical and PhD training to help develop the next generation of data sciences tools for advancing the diagnosis, treatment, and management of neurological and neuropsychiatric disorders.

Outside of research and medicine, I enjoy surfing, baking, reading, hiking, and snuggling with my gorgeous ragdoll cat, Oliver!