Picture of AB

I am a researcher with interests broadly spanning machine learning on graphs, statistical benchmarking of GNN architectures, and high dimensional probability. I completed my Ph.D. at the School of Computer Science at UWaterloo, co-advised by two awesome supervisors: Kimon Fountoulakis and Aukosh Jagannath, where I was a part of the OpAL Lab and the A&C group.

Prior to this, I received my MMath from UWaterloo, advised by Prof Jeffrey Shallit, where I worked on algorithmic number theory and combinatorics on words. I was an undergrad at IIT Jodhpur before that, 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.

news


Nov 18, 2024 :book: My thesis is publicly available on UWSpace.
Sep 29, 2024 :fire: Our paper Analysis of Corrected Graph Convolutions is accepted at NeurIPS.
Jan 5, 2024 :pray: I received the David R. Cheriton Scholarship from the Cheriton School of Computer Science.
Sep 22, 2023 :fire: Our paper Optimality of Message-Passing Architectures for Sparse Graphs is accepted at NeurIPS.
Sep 6, 2023 :fire: Our paper Antisquares and Critical Exponents is now available on DMTCS.
Aug 15, 2023 :fire: Our paper Graph Attention Retrospective is now available on JMLR.
May 30, 2023 :metal: I started my internship at Microsoft Research, Redmond with J Stokes, M Alimomeni and J Neville.
May 8, 2023 :pray: I received the UWaterloo President’s Graduate Scholarship for AY 2023 – 2024.
May 8, 2023 :pray: I received the Ontario Graduate Scholarship for AY 2023 – 2024.
Jan 21, 2023 :fire: Our paper Effects of Graph Convolutions in Multilayer Networks is accepted at ICLR (spotlight).