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- Biomedical Image Understanding
We design machine learning algorithms for the annotation, clustering, and segmentation of biomedical images, including spatial gene expression images, cryo-EM single-particle images, immunohistochemistry, and immunofluorescence microscopic images, etc.
- Biological Language Modeling
We regard biological sequences (DNA/RNA sequences and amino acid sequences) as a special kind of language, and explore biomolecular structure and functions based on sequence analysis using statistical language models, word embeddings, and deep learning models.
- Machine Learning and Data Mining
We develop algorithms to deal with large scale, imbalanced, and multi-label classification problems, mainly from the biomedical field.