Portrait of Da Li

Da Li

Associate Professor in the Department of Computer Science at the University of York

My research develops adaptive AI systems that understand, generate, and act. This programme connects multimodal learning, generative models, and embodied AI.

I was a Senior Research Scientist and Project Lead at Samsung AI Center Cambridge. I did my PhD study at Queen Mary University of London (QMUL) and Surrey’s Centre for Vision, Speech and Signal Processing (CVSSP), advised by Prof Yi-Zhe Song and Prof Timothy Hospedales. Prior to moving to the UK, I worked as a Computer Vision Engineer at West-well Lab (AI Unicorn) and a 3D Software Engineer at Autodesk R&D.

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I welcome enquiries from motivated prospective PhD students, visitors, and remote research interns interested in multimodal learning, generative models and embodied AI.

News

  • One paper on Mixture-of-Experts diffusion LLMs was accepted at NeurIPS 2026.
  • Seeking prospective PhD students for 2027 entry through York-CSC and SAINTS.

Research interests

Funded PhD opportunities

I welcome early enquiries from prospective students whose interests align with the research areas above.

York-CSC PhD scholarships

Chinese applicants

The University of York and the China Scholarship Council offer jointly funded PhD scholarships.

The 2027 timetable has not yet been published. Please contact me early with your CV, transcripts, and a short statement of research interests.

SAINTS CDT studentships

Safe AI

SAINTS is York’s UKRI Centre for Doctoral Training in lifelong safety assurance of AI-enabled autonomous systems. Relevant topics include safe self-evolving embodied AI, uncertainty-aware world models, and lifelong adaptation.

Applications normally open between November and January. Students interested in working with me are welcome to discuss research fit before applying through the formal SAINTS process.

Honours & awards

  • Samsung International Best Paper Award (Bronze) · Samsung
  • AutoML Best Paper Award · AutoML Conference
  • Samsung International Best Paper Award (Participation) · Samsung
  • Samsung International Best Paper Award (Merit) · Samsung
  • Samsung International Best Paper Award (Silver) · Samsung
  • Rabin Ezra Scholarship · QMUL

Published patent applications

Contact & collaboration

I welcome enquiries about:

  • Research collaborations and industry partnerships
  • Consultancy in AI and machine learning
  • PhD and master's research supervision
  • Visiting research and remote research internships
  • Invited talks, keynote lectures, and panel discussions
  • Editorial opportunities and external examining
  • Committee, advisory board, and review panel roles
  • Research and strategic reviews

Please email dali.academic@gmail.com with a brief outline of your enquiry.