Ming Jiang | 蒋明


Assistant Professor
Biostatistics & Medical Informatics
The Information School
Computer Science (Affiliate)
Data Science Institute (Affiliate)
University of Wisconsin-Madison
Office: Morgridge Hall 5661, 1205 University Ave, Madison, WI 53706
Email: {ming.jiang}AT{wisc}DOT{edu}

About

I’m an assistant professor at UW–Madison with a joint appointment in the Department of Biostatistics and Medical Informatics (BMI) and the iSchool. I am also a faculty affiliate of the Department of Computer Sciences and the Data Science Institute.

I obtained my Ph.D. in Informatics from the University of Illinois Urbana-Champaign (UIUC), where I worked with Prof. J. Stephen Downie. During my Ph.D., I also interned with the Deep Learning Group at Microsoft Research. Before joining UW-Madison, I spent three wonderful years as an assistant professor at Indiana University Indianapolis.

I am broadly interested in Natural Language Processing and Artificial Intelligence, with a focus on advancing human-centered and trustworthy language technologies. I design algorithms and benchmarks to study how humans and AI systems perceive and communicate information from both visual and textual content. My research goal is to uncover sociotechnical principles that enable language technologies to communicate reliably, supporting effective interpersonal and cross-community interactions.

Recently, my work has centered on (1) understanding the "mental modeling" of LLMs and VLMs, (2) fostering their responsibility to social context, and (3) enhancing their adaptability to human-centered diversity across diverse communication scenarios.

Prospective students: I am looking for highly-motivated PhD students in CS, Information, and Biomedical Data Science(BDS) programs. Please feel free to reach out by email and share your resume. The master or undergraduate students at UW-Madison, who are interested in NLP research, are also welcome to contact me!

Recent News:

  • [2026] Honored to receive the support by NVIDIA Academic Grant Program.
  • [2026] One paper accepted to ACL26.
  • [2026] One paper accepted to CVPR26.
  • [2026] One paper accepted to KDD26.
  • [2025] Two papers accepted to EMNLP25.
  • [2025] Honored to receive 2025 Luddy Faculty Recognition Award.
  • [2025] One paper accepted to ICLR25.
  • [2024] One paper accepted to EMNLP24.
  • [2024] Honored to receive an EAGER award from National Science Foundation (NSF) to support our research on language technologies' cultural competence.
  • [2024] One paper accepted to COLM24.
  • [2024] Honored to receive 2024 Google Research Scholar Award on the topic of cultural awareness of large langauge models.