I am a PhD student at CSE@IIT Bombay, and a Google PhD Fellow. I'm jointly advised by Abir De and Soumen Chakrabarti.
I design machine learning methods for predictive challenges on graphs, with a focus on neural graph retrieval. This currently involves developing deep learning models for solving graph combinatorial problems, scalable retrieval methods with trainable hashing, and ensuring interpretability through explicit alignment-driven justifications. These techniques are applicable to multimodal retrieval involving graphs from diverse domains, such as knowledge graphs, scene graphs, social networks, and molecular graphs.
My doctoral research is supported by the Prime Minister's Research Fellowship (2022-25), the Qualcomm Innovation Fellowship (2022-24), and the Google PhD Fellowship (2024-25).
News
- Awarded the Google PhD Fellowship (2024-25).
- Two papers [1, 2] accepted at NeurIPS 2024
- Serving as a reviewer for NeurIPS 2024, AAAI 2025, AISTATS 2025, ICLR 2025.
- Updated Research Statement (May 2024).
- One paper accepted at NeurIPS 2023 as Spotlight(Top 4%)
- Awarded a renewal of Qualcomm Innovation Fellowship for the academic year 2023-24 (Total four awarded from India)
- Invited talk on Neural Graph Retrieval at IBM Research Zurich
- One paper accepted at NeurIPS 2022
- Awarded the Qualcomm Innovation Fellowship for the academic year 2022-23