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Guangxi Wang
guangxiwang@bjmu.edu.cn
Chinese, English
Beijing
Peking University
Basic Medical Sciences
  • 2008-2013: Bachelor of Medicine, Peking University
  • 2013-2016: PhD in Pathology, Peking University
  • Published multiple SCI papers as first author
  • Holds two national patents
  • 2016-2019: Assistant Researcher, First Medical Center Oncology Laboratory, PLA General Hospital
  • 2019-2022: Postdoctoral Fellow, Department of Genetics, Peking University Health Science Center
  • 2022-present: Assistant Professor, Associate Researcher, Doctoral Supervisor, Institute of Systems Biomedicine, Peking University
  • 2016: Peking University May Fourth Medal
  • 2016: Beijing Outstanding Graduate
  • 2017: Second Prize of Chinese Medical Science and Technology (Third Contributor)
  • 2020: Peking University Health Science Center Education Award
  • 2021: Peking University Outstanding Union Activist
  • 2021: Peking University Health Science Center Outstanding Communist Party Member
  • 2022: Peking University Health Science Center Young Talent Award
  • 2022: Peking University Outstanding Postdoctoral Fellow
Tumor Systems Biology and Molecular Biology
Metabolomics and Multi-Omics with Machine Learning for Cancer Detection
  • Lung cancer scRNA-seq and lipidomics reveal aberrant lipid metabolism for early-stage diagnosis, Guangxi Wang et al., 2022
  • Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics, Guangxi Wang et al., 2021
  • PTEN regulates RPA1 and protects DNA replication forks, Guangxi Wang et al., 2015
  • Metabolic detection of malignant brain gliomas through plasma lipidomic analysis and support vector machine-based machine learning, Guangxi Wang et al., 2022
  • RPA1 controls chromatin architecture and maintains lipid metabolic homeostasis, Guangxi Wang et al., 2022
  • Identification of diagnostic markers and lipid dysregulation in oesophageal squamous cell carcinoma through lipidomic analysis and machine learning, Guangxi Wang et al., 2021
Tumor Systems Biology Molecular Biology Metabolomics Multi-Omics Machine Learning Cancer Detection Biomarkers Diagnostic Targets Artificial Intelligence

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