Scholar
Subhro Das
Google Scholar ID: 8cqcuYIAAAAJ
Principal AI Researcher, Applied Science, Microsoft
Citations & Impact
Citations
1,441
H-index
20
i10-index
31
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Background
- Staff Research Scientist at the MIT-IBM AI Lab, IBM Research.
- Research Affiliate in Electrical Engineering & Computer Science at MIT and Principal Investigator (PI).
- Research interests broadly include Representation Learning, Generative AI, Foundation Models, Trustworthy Machine Learning, Large Language Models, Reinforcement Learning, Dynamical Systems, and ML Optimization methods.
- Current research focuses on long-context understanding, uncertainty quantification, human-centric system design for LLMs, and time-series foundation models.
- Working on post-training techniques and alignment methods for LLMs, including fine-tuning, instruction tuning, synthetic data generation, and prompt optimization.
- Generated large-scale long-context instruction-following data with diverse reasoning tasks for training Granite models; contributed to the post-training of IBM’s LLM Granite 3.1 and multimodal model Granite Vision.
