معرفی
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.
