Tuhin Chakrabarty

Tuhin Chakrabarty is an Assistant Professor in the Department of Computer Science at Stony Brook University. His research focuses on developing AI systems that address implicature, ambiguity, and human-aligned requirements, with applications in natural language processing and human-AI collaboration.

Education:

• Ph.D. in Computer Science from Columbia University

Research Interests: Tuhin explores methods to enhance AI reliability through Long Form Text Generation Evaluation, Benchmarks for Reasoning and Explainability, and Human-AI Collaboration frameworks. His work bridges computational linguistics, machine learning, and creative applications of AI.

Scientific Awards:

• Columbia Center of Artificial Intelligence & Technology (CAIT) Research Support
• Amazon Science Ph.D. Fellowship
• Computational Journalism Fellow at NYTimes R&D (2021-2022)

Publications Trends: His recent work spans AI safety, creativity support, figurative language understanding, and multimodal systems. Key themes include human-AI alignment, ethical considerations, and empirical studies on generative models.

Additional Contributions: Tuhin collaborates with Stony Brook’s Institute for AI-Driven Discovery and Innovation, advancing interdisciplinary research in AI applications.