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Research Interests
AI for biomedicine and bioinformatics: single-cell and multi-omics analysis, medical image analysis, disease-association modelling, drug-target virtual screening, and domain-specific foundation models.
AI for genomics and smart breeding: crop genomics, telomere-to-telomere (T2T) genome analysis, intelligent breeding, agricultural foundation models, and research platforms for smart agriculture.
Data-driven systems: graph learning and large-scale data modelling for complex systems, with selected applications in intelligent industry.
I welcome enquiries from motivated undergraduate and graduate students who are interested in interdisciplinary AI4S research. Please contact me by email with a brief introduction and your CV.
