Bio

I am the 2023 Grace Hopper postdoctoral fellow at Lawrence Berkeley National Lab advised by Dmitriy Morozov.

Before that, I was an NSF Computing Innovation Fellow at Rutgers University advised by Martin Farach-Colton and Michael Bender. I completed my PhD at UMass Amherst in the College of Information and Computer Science, where I was advised by Andrew McGregor.

I design algorithms and build systems for large-scale computation, in particular graph sketching algorithms for graphs that are massive, dense, and change over time. I apply these algorithms and systems to real-world problems in areas like databases, bioinformatics, network measurement, and machine learning.

Check out my one-page resume and my academic CV.