About Me

I completed my MD-PhD training at Duke University and pursued my PhD in Electrical and Computer Engineering (ECE) at John Pearson’s lab. My PhD thesis work was focused on developing new deep generative modeling approaches particularly suited for the needs of neuroscientists and biomedical researchers. More specifically, I focused on developing deep generative models capable of learning representations with useful properties, such as compression (i.e., dimensionality reduction), interpretability, identifiability, error and uncertainty estimation, and temporal dynamics modeling. I applied and validated these models across many different biomedical data modalities, including brain imaging data (fMRI), neural population recording data, audio data from bird vocalizations, and mouse behavioral data.

I matched into Diagnostic Radiology at the University of Washington and will be completing my first (transitional) residency year at Mountain Area Health Education Center (MAHEC) in Asheville, NC before moving to Seattle for my advanced specialty training years. I am super excited to enter into this new stage of my physician-scientist career and to continue to merge my interests in diagnostic imaging and machine learning/AI!

Outside of research and medicine, I enjoy surfing, baking, reading, hiking, and doing all sorts of DIY projects!