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.

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Jan 5, 2024 | I received the David R. Cheriton Scholarship from the Cheriton School of Computer Science. |
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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. |

Jan 21, 2023 | Our paper Effects of Graph Convolutions in Multilayer Networks is accepted at ICLR (spotlight). |

Dec 9, 2022 | I am one of the top 20 reviewers at LoG Conference 2022, thanks to the committee! |

Oct 3, 2022 | I started my internship with the Graph Mining Group at Google Research. |