Biography
Cheng Chen is an Assistant Professor in the Department of Electrical and Computer Engineering, The University of Hong Kong (HKU). Before joining HKU, she was a postdoc research fellow at Harvard Medical School, US. She obtained her Ph.D. in Computer Science and Engineering at The Chinese University of Hong Kong, and her M.S. and B.S. in Biomedical Engineering at Johns Hopkins University and Zhejiang University, respectively. She has been named one of the Global Top 80 Chinese Young Female Scholars in AI and won the MICCAI Federated Brain Tumor Segmentation Challenge. She also serves as Area Chair of MICCAI 2024 and a reviewer for top-tier journals and conferences.
My research aims to build generalizable and robust multi-modal AI systems to support precise and personalized clinical decision-making. My recent research focus includes: 1) Interpret and integrate multi-modal biomedical data, combining both imaging and non-imaging (e.g., texts, EHRs, genes) information, to improve clinical understanding and decision-making; 2) Develop scalable models with strong generalizability and adaptability to perform accurately on new, unseen medical data or scenarios; 3) Innovate human-in-the-loop approaches with data-centric strategies to create synergistic solutions for medical applications.
Our group is looking for Ph.D. students and research assistants. If you are interested in joining us, please feel free to email me at cchen@eee.hku.hk for potential opportunities.
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