Hello There! I'm an ELLIS PhD student advised by Steffen Staab (ELLIS, University of Stuttgart) and Antonio Vergari (University of Edinburgh). I'm generally interested in making ML systems learn better from data with inherent symmetries and where the i.i.d. assumption does not hold. Here are some of my (very) wide sets of interests,
- Contrastive learning
- Probabilistic Knowledge Graphs
- Equivariant GNNs
- Rethinking Evaluations for ML systems
- ML systems with inspirations from Evolutionary Biology
Feel free to reach out to me through my email if you want to have a chat about ideas!
Updates
| Aug 2024: | Joining the ELLIS PhD Program advised by Steffen Staab and Antonio Vergari to broadly work on Foundational Knowledge Graphs. |
| May 2024: | Graduated from IIIT Hyderabad with a dual degree (BTech + MS by Research) in Computer Science and Engineering. |
| Apr 2024: | Our work on analysing changes to hate networks after liberalization of social media platforms to appear in WOAH @ NAACL 2024! |
| Feb 2024: | Attending the Google Research Week 2024 in Bangalore! |
| Jan 2024: | Started working with the InfoNet team from DeepMind (previously Google Research) on on leveraging topological information from user interactions to gather insight on the quality of user-generated content! |
| Oct 2023: | Attending ECAI 2023 at Krakow, Poland and visiting ETH Zurich at the same time. Thanks to Microsoft Research for sponsoring! |
| Jun 2023: | Our work on imposing group fairness constraints on GNNs to appear as an Oral at ECAI 2023! |
| May 2023: | Joining JPMorgan's Corporate Investment Banking Division's AI/ML team as an intern! |
| May 2022: | I am joining the Chinese University of Hong Kong as a SURP intern, working with Prof. Hong Cheng! |
| April 2022: | Our work on fraud detection on google play store to appear in ACM Hypertext 2022! |
| Aug 2021: | Our submission to GermEval 2021 Shared Task ranks 6th globally! |
| May 2021: | I am joining the Precog Research lab for my masters thesis, working with Prof. Ponnurangam Kumaraguru "PK"! |
Publications
Sanity Checks for Evaluating Graph Unlearning
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CoLLAs-W '24 |
The 3rd Conference on Lifelong Learning Agents (Workshop Track)
pdf
X-posing Free Speech: Examining the Impact of Moderation Relaxation on Online Social Networks
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WOAH @ NAACL '24 |
The 8th Workshop on Online Abuse and Harms (WOAH) at NAACL 2024
pdf
cite
Oral
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs
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ECAI '23 |
The 26th European Conference on Artificial Intelligence
pdf
code
cite
Media Coverage
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play
HT '22 |
LBR Track at the 33rd ACM Conference on Hypertext and Social Media
pdf
cite
Coverage: Montreal AI Ethics Institute
Ensembling Pre-Trained Language Models with Feature Engineering
GermEval '21 |
GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
pdf
code
cite
Ensemble of Task-Specific Language Models for Brain Encoding
Arxiv (Unsubmitted)
pdf
code
cite
Experience
