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I am a Ph.D. at École Polytechnique Fédérale de Lausanne (EPFL) working
with Prof. Maria Brbic in the MLBio Lab. My research interests span Multimodal LLMs, geometric deep learning, and AI for materials and single-cell biology.
Previously, I was a visiting researcher at ServiceNow Research in the Multimodal Foundation Models team, building foundation model for structured document understanding. I was also a Research Intern at PROSE at Microsoft, working on designing algorithms and evaluation set-ups for email classification in real-world (online) settings. I was fortunate to work on topological data analysis at Adobe Research, India and on explainability in pre-trained language models at INK-Lab, University of Southern California under Prof. Xiang Ren. I completed my M.Sc. in Computer Science from McGill University in a thesis-based program under the supervision of Prof. Siamak Ravanbakhsh. I was also affiliated with Mila during this time. I earned my B. Tech. in Computer Science and Engineering from Indian Institute of Technology Kharagpur. I was part of the CVIR Lab under the supervision of Prof. Abir Das and Dr. Rameswar Panda where I worked on contextual bias and multimodal learning problems. I am always open to collaborations and discussions. Please feel free to schedule a meeting on Calendly.
Other:
Advice on Grad Applications |
Montreal, Canada |
Banff, Canada |
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| [Jan 25] | Two papers accepted in ICLR 2025! |
| [Dec 24] | Participated in Immunological Genome Project (ImmGen T) consortium at Harvard Medical School. |
| [Dec 24] | Graduated with M.Sc. (Thesis) in Computer Science from McGill University (and Mila)! |
| [Oct 24] | One paper accepted in NeurIPS 2024 Workshop on RBFM. |
| [Oct 24] | One paper accepted in NeurIPS 2024 AI4Mat workshop with a spotlight talk. |
| [Sep 24] | Received EDIC Fellowship offer to start my Ph.D. at EPFL! |
| [Jul 24] | One blogpost accepted in GRaM workshop, ICML 2024! Blogpost here. |
| [May 24] | Two papers accepted in EquiVision workshop, CVPR 2024 with a spotlight talk! Slides here. |
| [Apr 24] | Gave a talk on Equivariant Adaptation of Large Pretrained Models at Google Research India. Slides here. |
| [Mar 24] | Received GREAT award from McGill University to attend ICLR 2024. |
| [Mar 24] | Released open-source Python package EquiAdapt! Feedback is welcome. |
| [Jan 24] | One paper accepted in ICLR 2024! |
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