Photo shot in summer 2025.

Contact

Hi, I am a postdoctoral AI researcher at the MIT-IBM Watson AI Lab. I am also an incoming tenure-track Assistant Professor at Northeastern University (starting January 2026), with a joint appointment in the D’Amore-McKim School of Business and the Khoury College of Computer Sciences. My research focuses on large language models, AI agents, natural language processing, and human–AI interaction.

I completed my Ph.D. at MIT advised by Deb Roy, where I studied the foundations of LLMs and their applications to human communication at scale. Earlier, I earned an M.S. in Symbolic Systems from Stanford University, affiliated with the Stanford NLP Group, and a B.S. in Computer Science and a B.A. in Linguistics, Summa Cum Laude, from Emory University.

I enjoy exploring ideas at the intersection of research and product innovation, and have spent rewarding summers with AI2, Google, IBM Research, Apple, ETS, and CMU. I welcome opportunities for research collaboration, mentorship, and conversation. If you’d like to connect, please reach out via email .


News


Selected Publications

(* indicate equal contribution)

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex ‘Sandy’ Pentland, Yoon Kim, Deb Roy, and Jad Kabbara
ACL 2024
[Paper] [arXiv] [Code]

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, and Jad Kabbara
NAACL (Findings) 2024
[Paper] [arXiv] [Code] [Slides] [IC2S2]
Covered by [Science] [ACM]

Bridging Dictionary: AI-Generated Dictionary of Partisan Language Use
Hang Jiang*, Doug Beeferman*, William Brannon, Andrew Heyward and Deb Roy
CSCW Demo 2024
[Paper] [arXiv] [Demo] [Paper Demo] [Game Demo] [Latest Demo]

CommunityLM: Probing Partisan Worldviews from Language Models
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy
COLING 2022
[Paper] [arXiv] [Code] [Video] [Slides] [Poster] [Models]

Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang*, Hang Jiang*, Yasuhide Miura, Christopher D. Manning, and Curtis P. Langlotz
MLHC 2022
[Paper] [OpenReview] [arXiv] [Video]
ConVIRT inspired OpenAI's CLIP [Paper] [Blog]

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Hang Jiang*, Sairam Gurajada*, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander Gray
ACL 2021
[Paper] [arXiv] [Code] [Slides] [Video]
Oral Presentation


Teaching