I’m a Ph.D. student at the School of Computer Science at UWaterloo, co-advised by two awesome supervisors: Kimon Fountoulakis and Aukosh Jagannath. I am a part of the OpAL Lab and the A&C group. My interests broadly span machine learning on graphs, statistical benchmarking of GNN architectures, and high dimensional probability.

I have completed two internships with amazing mentors: The summer of 2023 at Microsoft Research with Jay Stokes, Mohsen Alimomeni and Jennifer Neville on applications of GNNs in cyber-security; and the fall of 2022 at Google Research with Bryan Perozzi, Anton Tsitsulin and Sami Abu-El-Haija on scalable GNNs for node-classification.

I received my MMath from UWaterloo, advised by Prof Jeffrey Shallit, where I worked on algorithmic number theory and combinatorics on words. Prior to that I was an undergrad at IIT Jodhpur, where I actively contested at the ACM-ICPC and several CTFs.

Fun fact: my Erdős number is 2 with the path P. Erdős J. Shallit me.