Prateek Chanda - Home Page
I am a 3rd 4th year Ph.D. student at the Indian Institute of Technology
Bombay, CSE Department
advised by Ganesh Ramakrishnan, working on large scale
efficient machine learning, generously supported by the Prime Minister Research Fellowship (2022-2027)
and the Microsoft PhD Award (2025-2026).
I have been a part-time Student Researcher at Google Deepmind India hosted by Pradeep Shenoy during (July 2023-May 2024) working on Efficient
Pretraining of Large Language Models and Knowledge Distillation for Large Language Models. During my time at
Deepmind, I had the pleasure of working with and being mentored by Dheeraj Nagaraj, Arun Suggala and Prateek Jain.
I am also collaborating with Dr. Krishnateja Killiamsetty at IBM Almaden Research Labs.
Trajectory
Before Ph.D., I was a research software engineer (SCAI Fellow) at Microsoft Research India
Bangalore, hosted by Amit Sharma and Vageesh Chandramouli. Before this I
completed my undergrad at IIEST Shibpur where I was advised by Prof. Susanta
Chakrabarty (former Dean) and Prof. Asit Kr. Das.
Recent Papers
Current Research Interests
- Large language models: efficient pretraining, constrained fine-tuning, and continual learning
- Knowledge distillation, model compression and robustness
- Representation learning, submodular subset selection and coresets
- Optimization for large-scale models and scalable training
- Federated and personalized learning
Reviewer Assignments
- AAAI 25 (By Conf. submission)
- TMLR 2025 (By Invitation)
- LoG 2024 (By Invitation)
- ICLR 2025 (By Conf. submission+Invitation from 2024 Conf. Acceptance)
- Neurips 2025 (By Invitation)
Trivias & Musings
Still Procastinating what to share here
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