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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, diffusion models, 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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| [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! |
| [Oct 23] | Organizing ML Reproducibility Challenge 2023! |
| [Oct 23] | Sponsored CA$ 6000 Google Cloud credits for CampusPulse Ideathon with KDAG, IIT Kharagpur! |
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