I am a Ph.D. candidate in Biostatistics at Duke University, advised by Dr. Zhicheng (Jason) Ji. My research focuses on single-cell and spatial genomics, with particular interest in developing statistical and AI methods for spatiotemporal analysis, image analysis, and applications in cancer and cellular senescence.
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Duke UniversityPh.D. in BiostatisticsAug 2022 – May 2027 (expected)
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Duke UniversityMaster of BiostatisticsAug 2020 – May 2022
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Dalian University of TechnologyB.S. in Mathematics and Applied Mathematics2016 – 2020
Honors & Awards
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Graduate Student Pilot Research Grant, Duke University School of MedicineMar 2024
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Degree Marshall Award, Duke Biostatistics and BioinformaticsMay 2022
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Overall Academic Achievement Award, Duke Biostatistics and BioinformaticsMay 2022
News
Selected Publications (view all )
Halo: a pretrained model for whole-cell segmentation from nuclei images in spatial transcriptomics
Xingyuan Zhang, Haotian Zhuang, Zhicheng Ji
Briefings in Bioinformatics 2026
Halo: a pretrained model for whole-cell segmentation from nuclei images in spatial transcriptomics
Xingyuan Zhang, Haotian Zhuang, Zhicheng Ji
Briefings in Bioinformatics 2026
Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity
Haotian Zhuang, Xin Gai, Anru R. Zhang, Wenpin Hou, Zhicheng Ji, Pixu Shi
Bioinformatics 2026
Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity
Haotian Zhuang, Xin Gai, Anru R. Zhang, Wenpin Hou, Zhicheng Ji, Pixu Shi
Bioinformatics 2026
PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns
Haotian Zhuang, Zhicheng Ji
Genome Biology 2026
PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns
Haotian Zhuang, Zhicheng Ji
Genome Biology 2026
Identifying cell-type-specific spatially variable genes with ctSVG
Haotian Zhuang, Xinyi Shang, Wenpin Hou, Zhicheng Ji
Genome Biology 2025
Recommended for multiple use cases in an independent benchmarking study published in Briefings in Bioinformatics.
Identifying cell-type-specific spatially variable genes with ctSVG
Haotian Zhuang, Xinyi Shang, Wenpin Hou, Zhicheng Ji
Genome Biology 2025
Recommended for multiple use cases in an independent benchmarking study published in Briefings in Bioinformatics.
Assessment of treatment effect heterogeneity for multi-regional randomized clinical trials
Haotian Zhuang, Xiaofei Wang, Stephen L. George
Statistics in Biopharmaceutical Research 2024
Assessment of treatment effect heterogeneity for multi-regional randomized clinical trials
Haotian Zhuang, Xiaofei Wang, Stephen L. George
Statistics in Biopharmaceutical Research 2024
findPC: An R package to automatically select the number of principal components in single-cell analysis
Haotian Zhuang, Huimin Wang, Zhicheng Ji
Bioinformatics 2022
findPC: An R package to automatically select the number of principal components in single-cell analysis
Haotian Zhuang, Huimin Wang, Zhicheng Ji
Bioinformatics 2022