I am an Associate Professor at Chinese PLA General Hospital after obtaining a doctor of philosophy degree in Biomedical Engineering. My research interests are Omics-based drug repositioning. I developed drug repositioning methods, such as cogena, and applied them into various diseases, such as cardiovascular disease, periodontal disease, mountain sickness and COVID-19.

Selected papers:

• 2026 Dietary rhythms and biological aging risk across multiple organs, published in npj Science of Food
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• 2025 Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank, published in Sci Adv
  • Reproducible research: code
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• 2025 Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health, published in Brain
  • Reproducible research: code
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• 2023 Structural variants involved in high-altitude adaptation detected using single-molecule long-read sequencing, published in Nature Communications
  • TibetanSV web server
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• 2023 Low-dose of caffeine alleviates high altitude pulmonary edema via regulating mitochondrial quality control process in AT1 cells, published in Frontiers in Pharmacology
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• 2022 Proteomic and clinical biomarkers for acute mountain sickness in a longitudinal cohort, published in Communications Biology
  • Reproducible research: code
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• 2021 The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis, published in Bioimpacts
  • Reproducible research: code
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• 2020 Impacts of the Plateau Environment on the Gut Microbiota and Blood Clinical Indexes in Han and Tibetan Individuals, published in mSystems
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• 2020 Transcriptome-based drug repositioning for coronavirus disease 2019 (COVID-19), published in Pathogens and Disease
  • Reproducible research: code
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• 2019 Time-Course Transcriptome Analysis for Drug Repositioning in Fusobacterium nucleatum-Infected Human Gingival Fibroblasts, published in Frontiers in Cell Biology
  • Reproducible research: code
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• 2016 Cogena, a novel tool for co-expressed gene-set enrichment analysis, applied to drug repositioning and drug mode of action discovery, published in BMC Genomics
  • cogena: code or Bioconductor
  • Reproducible research: code
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Meeting with slides:

• Drug repositioning based on coexpressed gene-set enrichment analysis (cogena) at European Bioconductor Developers’ Conference 2015

• Co-expressed gene-set enrichment analysis for drug repositioning with examples of psoriasis and periodontal diseases at The 4th Big Data Forum for Life and Health Sciences 2019

• Transcriptome-based drug repositioning for COVID-19 at World biological science and technology conference 2021 BioST virtual 2021

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Updated Date： 18 June, 2026.