Multiple papers accepted by top international journals and conferences such as Nature Communications, Cell Genomics, IEEE Transactions on Medical Imaging (TMI), ICLR, NeurIPS, etc.; developed several open-source projects including Hist2Cell, FLEX, TAD-Graph, etc.
Research Experience
Served as a PhD student at MedAI Lab, The University of Hong Kong, and now a Postdoctoral Researcher at Kather Lab, focusing on Computational Pathology and Spatial Omics Analysis.
Education
Obtained B.S. in Computer Science from Beihang University in 2021, advised by Prof. Guoqi Li and Prof. Lei Deng; PhD student at The School of Computing and Data Science, The University of Hong Kong before 2026, advised by Prof. Lequan Yu and closely collaborated with Prof. Yuanhua Huang; currently a Postdoctoral Researcher at the Kather Lab, Else Kroener Fresenius Center for Digital Health, Technical University Dresden, under the supervision of Prof. Jakob Nikolas Kather.
Background
Research interests: Artificial Intelligence, Healthcare, and Biomedical Sciences. Dedicated to designing advanced machine learning methods and computational algorithms for analyzing medical images and biomedical data. Currently focusing on Computational Pathology and Spatial Omics Analysis.
Miscellany
Open to collaboration on AI for healthcare research.