I am a Professor at Nanjing University of Aeronautics and Astronautics (NUAA), where I lead the [Lab Name]. My research lies at the intersection of machine learning, computer vision, and biomedical research, with a focus on building models that are both efficient and trustworthy.
Before joining NUAA, I was a research associate at Imperial College London, where I received my Ph.D. under the supervision of Prof. Guang Yang. During my time at Imperial, I was fortunate to work alongside collaborators across the world, an experience that continues to shape how I approach interdisciplinary medical AI research today.
I am actively recruiting Ph.D. students, M.S. students, and visiting scholars passionate about AI4Science. A strong foundation in deep learning, solid programming skills (PyTorch preferred), and intellectual curiosity matter far more to me than a polished CV.
Predicting disease outcome and progression via imaging-derived biomarkers.
Efficient training and adaptation of large-scale models for medical vision & language domains.
Joint reasoning over vision, language, and structured clinical data.