About me

Have you ever taken a picture of the face of someone you love, or of some text for future reference? If you used an iPhone 14, then the picture you captured is a data point in a space with millions of dimensions. However, it is well known that faces and text live in much lower dimensional spaces! In many ways, images are extremely inefficient representations of information, but they are here to stay (after all, we have a whole lobe of our brain basically dedicated to processing visuals). I am interested in designing methods and implementing open software to extract information from images to answer biological questions about the brain.

Very much the product of the BRAIN Initiative, I spent my PhD working under Professors Michael Miller and Joshua Vogelstein to build algorithms for neuron segmentation and tracing, and numerical methods for transforming and analyzing digitial neuron traces at the micron scale. I also deeply enjoyed both mentoring and teaching in various capacities at Johns Hopkins, and hope to pursue an academic career. Currently, I am a MIT - Novo Nordisk Artificial Intelligence Postdoctoral fellow and I hope to contribute active learning algorithms to accelerate the reconstruction of the mouse connectome from electron microscopy images.