Overview
I am a postdoctoral associate at Duke University, where I work under the supervision of Prof. Ricardo Henao. I completed my Ph.D. in Computer Science and Engineering at IIT Kanpur under the guidance of Prof. Piyush Rai. I have also worked as a research consultant at KAUST.
My current research interests are developing frameworks for causal inference, test-time adaptation, agentic memory systems, and agentic AI.
Current Duke Appointments & Affiliations
Postdoctoral Associate
Biostatistics & Bioinformatics, Division of Translational Biomedical,
Biostatistics & Bioinformatics
Recent Scholarly Works
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
Preprint · May 28, 2026 Agentic LLMs must continuously decide whether newly extracted facts should be added, merged with existing memories, or ignored, yet prior work has focused more on retrieval and storage than on principled write-side control. We frame memory evolution as a n ... Link to item CiteCalibrating Model-Based Evaluation Metrics for Summarization
Conference · April 18, 2026 Recent advances in summary evaluation are based on model-based metrics to assess quality dimensions, such as completeness, conciseness, and faithfulness. However, these methods often require large language models, and predicted scores are frequently miscal ... Link to item CiteCalibrating Model-Based Evaluation Metrics for Summarization
Conference Findings of the Association for Computational Linguistics: ACL 2026 · 2026 Full text CiteRecent Grants
Machine Learning Guided Precision Genetic Testing for Identification of Monogenic Cardiovascular Disorders
ResearchPostdoctoral Associate · Awarded by National Heart, Lung, and Blood Institute · 2024 - 2028View All Grants