I am a PhD student in computer science at UMass Amherst, where I am advised by Cameron Musco.

My primary interest is in machine learning involving network data and graph-based algorithms. My recent work centers around learning or inverting low-dimensional representations for networks. I am also more generally interested in connections between recent, “deep” methods and classical methods.

In Summer 2021, I interned at Adobe Research, where I was mentored by Ryan Rossi and others.