Tianjin Huang

I develop reliable, efficient, and generalizable artificial intelligence for messy real-world data, with a focus on foundation models, agentic AI, and AI for science and bio-medical applications.

Open to PhD students, visiting scholars, interns, and research collaborations.

Portrait of Tianjin Huang
Department of Computer Science
University of Exeter

Research

Current Directions

Efficient and trustworthy foundation models for data-imperfect, high-stakes, and resource-aware environments.

Join Us

Open to motivated students and visitors.

I welcome collaborations with remote students and visitors, with or without prior research experience, across reliable foundation models, agentic AI, and AI for science and bio-medical domains.

  • Prospective CSC PhD and joint-training visiting PhD students
  • Research interns interested in reliable and efficient AI
  • Collaborators working on science, medical, and real-world AI applications
Contact about opportunities

REGAL-Lab

Reliable and Generalizable AI Lab

REGAL Lab develops reliable, generalizable, and efficient AI systems with PhD students, master students, and research interns.

Meet the lab

News

Recent Updates

Selected updates from publications, grants, service, and group activities.

Publications

Selected Publications

* equal contribution   corresponding author

Full list on Google Scholar

    Experience

    Appointments and Service

    Academic appointments, reviewing, and community service.