 
      
      
    I am a researcher with interests broadly spanning machine learning on graphs, statistical benchmarking of model 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 WatCL 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, 2025 |  I received the Cheriton Distinguished Dissertation Award, thanks UWaterloo! | 
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| Nov 18, 2024 |  My thesis is now publicly available on UWSpace. | 
| Sep 29, 2024 |  Our paper Analysis of Corrected Graph Convolutions is accepted at NeurIPS. | 
| Jan 5, 2024 |  I received the David R. Cheriton Scholarship from the Cheriton School of Computer Science. | 
| Sep 22, 2023 |  Our paper Optimality of Message-Passing Architectures for Sparse Graphs is accepted at NeurIPS. | 
| Sep 6, 2023 |  Our paper Antisquares and Critical Exponents is now available on DMTCS. | 
| Aug 15, 2023 |  Our paper Graph Attention Retrospective is now available on JMLR. | 
| May 30, 2023 |  I started my internship at Microsoft Research, Redmond with J Stokes, M Alimomeni and J Neville. | 
| May 8, 2023 |  I received the UWaterloo President’s Graduate Scholarship for AY 2023 – 2024. | 
| May 8, 2023 |  I received the Ontario Graduate Scholarship for AY 2023 – 2024. |