We are actively seeking self-motivated Ph.D. Students, Research Assistants, and Visiting Students to join the Healthcare AI Lab at PolyU DSAI.
Our lab stands at the forefront of the Generative AI revolution in healthcare. We bridge the gap between fundamental AI innovation and clinical reality, aiming to develop Generalizable, Agentic, and Multimodal AI systems that can perceive, reason, and act in complex medical environments.
👉 Our latest works and publications can be found in Google Scholar.
🔬 Research Pillars
- Medical Foundation Models: Developing multimodal LLMs integrating medical imaging, surgical video, EHR, and biomedical literature for holistic clinical reasoning.
- Agentic AI for Healthcare: Building clinical agents and embodied copilots capable of autonomous planning and video-language-action learning.
- Translational AI: Moving beyond algorithms to build deployable prototypes and conducting rigorous clinical validation in real-world settings.
🚀 Why Join Us?
- Frontline Research: Work on cutting-edge topics (e.g., LLM Agents, Vision-Language Models, World Models) with a supervisor who has first-hand expertise in building foundation models.
- Proven Mentorship: Our philosophy is to help every student reach their full potential by providing training in independent research for future careers. Previous students under my mentorship have secured Ph.D. positions at top universities such as Cambridge, Edinburgh, Nottingham, and UIUC.
- Clinical Resources: Benefit from long-term collaborations with clinicians in USA, Hong Kong and Mainland hospitals, with access to high-quality medical data and expert feedback.
- Solid Support: We provide ample GPU resources and international collaboration opportunities, and fully support fellowship and scholarship applications (e.g., HKPFS, PPPFS, PRPgS).
🎯 Requirements
- BS/MS degree in CS, AI, DS, EE, BME, Math, Automation, or related fields.
- Solid math foundation, proficient in Python/PyTorch, and familiar with modern network architectures.
- Experience in CV, NLP, or Deep Learning. Prior work on LLMs, Agents, or Diffusion is a strong plus.
- A genuine passion for solving healthcare problems and resilience in tackling high-impact questions.
📝 How to Apply
Please email [email protected] with the subject: “Application for [Position] – [Your Name] – [Current University]”. The email requires the attachments to be merged into a single PDF:
- CV: Include education, technical stack, and publications.
- Transcripts.
- Research Statement: A brief outline (1-2 pages) of past work, future goals, and interest in our directions.
- Representative Work (optional): 1-3 papers, or Github project links.
💡 Notes
- Response Policy: Please be assured that I personally review every application with care. However, I will only be able to contact shortlisted candidates for interviews due to the high volume of inquiries. I genuinely appreciate your time and interest in our lab, and wish you the very best in your academic journey.
- For HKPFS Candidates: Please contact me early (before October) if you have an outstanding academic record.
🌍 We are at an era where the next-generation AI will revolutionize healthcare. If you are passionate about building intelligent systems that can "think" like a clinician and "operate" like a surgeon, we invite you to join us!