Smart Digital Health Lab
Group Dinner

Smart Digital Health Lab

PI: Emma, Shujun Wang
Assistant Professor · The Hong Kong Polytechnic University

Our group works at the intersection of AI for Science, digital health, and computational precision medicine. My group develops Artificial Intelligence (AI) Models for proteomics, medical image analysis, multimodal biomedical modeling, and medical time-series learning, with a particular interest in reliable diagnosis, prognosis, and personalized prediction.

Agentic AI AI for Science Virtual Cell Foundation Models Generative AI Medical Multimodal Learning Proteomics Medical Time Series Dementia
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Openings

I am actively recruiting self-motivated PhD students, research assistants, interns, visiting students, and undergraduate researchers. Strong applicants may come from computer science, biomedical engineering, statistics, applied mathematics, or related fields.

1. Academic Excellence
  • Institutional Background: A Bachelor’s degree from a Top 300 globally ranked university (e.g., QS, THE, or ARWU rankings).
  • Academic Standing: A minimum cumulative GPA of 3.5/4.0 (or equivalent) is strictly required.
  • Distinctions: Proven academic excellence as a recipient of a National Scholarship or equivalent prestigious honors.
2. Research Track Record
  • High-Impact Publications: Demonstrated ability to produce high-quality research, evidenced by publications in:
    • Top-tier AI Conferences: (e.g., CVPR, ICCV, MICCAI, NeurIPS, ICML).
    • Q1 Journals: First-quartile (JCR) journals such as IEEE TMI, MedIA, or TIP, IJCV, etc.
  • Technical Proficiency: Strong expertise in Agentic AI, LLM, multimodal data fusion, or related biomedical AI domains.
Candidates meeting these elite criteria are encouraged to submit their CV and portfolio for consideration.
Suggested application materials
1. Email subject
Prospective PhD / RA / Intern + your name + Bachelor University Name + area of interest.
2. Attachments
CV with GPA or Ranking information, transcript, and a research proposal describing your background, interests, and why you want to join the lab.
3. Optional but helpful
Awards (National Scholarship), Representative paper, thesis, code repository, competition result, or project page.
4. Funding
For PhD applicants, please also consult the PolyU Graduate School fellowship and scholarship schemes.
Contact

Emma, Shujun Wang
Assistant Professor
The Hong Kong Polytechnic University

Office: ST421a
Email: shu-jun.wang@polyu.edu.hk

I am happy to discuss research collaborations, student supervision, invited talks, workshops, and interdisciplinary projects at the interface of AI and healthcare.

External links