Training and research experience at TU/e, USC Keck School of Medicine, the Chinese Academy of Sciences, and Nanjing University.
# Join MI² Lab
Graduate studies · Research training · Collaboration
Build clinically grounded medical intelligence
We welcome students who want to connect rigorous computation with real medical questions. The lab combines foundational algorithm research, multimodal medical data, and translational collaborations with hospitals.
# Why MI² Lab
Research published across TPAMI, TMI, Medical Image Analysis, JBHI, Pattern Recognition, MICCAI, and other leading venues.
Work with medical images and clinical collaborators to turn algorithms into measurable biomarkers and decision support.
# Who We Are Looking For
- Applicants for master’s, regular Ph.D., or direct Ph.D. programs at Nanjing University.
- Background in computer science, biomedical engineering, medical imaging, clinical medicine, applied mathematics, or a related discipline.
- Clear interest in medical imaging, computer vision, multimodal large models, medical agents, or medicine–engineering research.
- Strong programming and mathematical foundations; publication or open-source experience is a plus.
- Reliable, collaborative, proactive in communication, and ready for sustained research.
# Admissions
AffiliationSchool of Biomedical Engineering, Nanjing University (Suzhou Campus)
AdvisorProf. Jiong Zhang
ProgramsMaster’s · Regular Ph.D. · Direct Ph.D.
OpeningsSubject to the annual plans of Nanjing University and the school
# Application Path
1
Explore the fit
Review the lab’s recent publications and projects to identify a concrete topic of interest.
2
Prepare materials
Send a concise introduction, CV, transcript, research interests, and links to representative papers, code, or projects if available.
3
Contact the lab
Email lixiang.cog@smail.nju.edu.cn. Formal applications follow the current notices of Nanjing University and the school.
Start a conversation
Tell us what medical problem you want to solve.
Specific positions and timelines depend on the university’s annual admissions plan.