Yang Shi

Assistant Professor

Yang Shi

Assistant Professor

Academic Appointment(s)

Medical College of Georgia
Department of Population Health Science: Biostats & Data Science

Medical College of Georgia
Department of Neuroscience and Regenerative Medicine

The Graduate School

Bio

Dr. Yang Shi is an Assistant Professor of Biostatistics and Data Science in the Department of Population Health Sciences, Medical College of Georgia at Augusta University. He received his Ph.D. and M.S. degrees in Biostatistics from the University of Michigan and his B.S. degree in Biological Science from Peking University.

Education

  • Ph.D., Biostatistics University of Michigan, 2016

  • MS, Biostatistics University of Michigan, 2013

  • BS, Biological and Biomedical Sciences, Other Peking Univ, 2009

Courses Taught Most Recent Academic Year

  • DATS 7530

    Computing for Data Science
  • STAT 8890

    Readings and Research
  • STAT 9300

    Dissertation Research
  • DATS 8170

    Advanced Computational Methods
  • DATS 7860

    Stat & Machine Learning

Teaching Interests

Statistical Theory I and II; Introduction to Statistical Learning; Applied Linear Models; Generalized Linear Models; Introduction to Biostatisics

Scholarship

Selected Recent Publications

  • Whole-Transcriptome Sequencing Analyses of Nuclear Antixoxidant-1 in Endothelial Cells: Role in Inflammation and Atherosclerosis, 2022
    Journal Article, Academic Journal
  • Differential requirement for DICER1 activity during the development of mitral and tricuspid valves., 2022
    Journal Article, Academic Journal
  • A Two-Part Mixed Model for Differential Expression Analysis in Single-Cell High-Throughput Gene Expression Data., 2022
    Journal Article, Academic Journal
  • Risk of hematologic malignancies after breast ductal carcinoma in situ treatment with ionizing radiation., 2021
    Journal Article, Academic Journal
  • Long-term Survival Comparison of Repeated Breast-conserving Surgery Versus Mastectomy for Patients with DCIS with Ipsilateral Breast Tumor Recurrence: A Real-world Longitudinal Study., 2021
    Journal Article, Academic Journal

Research Interests

Monte Carlo Methods; Mixed Models; Computational Statistics; Bioinformatics; Collaborative Research in Neuroscience, Neurological Diseases and Cancer

Professional Service

  • Academic Journal - BMC Bioinformatics 2019 - 2019

    Role: Reviewer, Journal Article
  • Academic Journal - Molecular Genetics & Genomic Medicine 2019 - 2019

    Role: Reviewer, Journal Article
  • Academic Journal - Biostatistics 2018 - 2018

    Role: Reviewer, Journal Article
  • Academic Journal - Statistical Methods in Medical Research 2018 - 2018

    Role: Reviewer, Journal Article