麻豆国产AV

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Haocheng Ding

Assistant Professor

Haocheng Ding

Assistant Professor

Academic Appointment(s)

Administration
Department of Biostatistics, Data Science, & Epidemiology

Administration
Department of The Graduate School

  • HADING@augusta.edu
  • (706) 721-4453
  • EB 221

Education

  • Ph.D., Biostatistics University of Florida, 2024

  • MS, Biostatistics Columbia University in the Cit, 2018

Courses Taught Most Recent Academic Year

  • DATS 7530

    Computing for Data Science

  • STAT 7110

    Stat Models and Methods

  • DATS 8170

    Advanced Computational Methods

Teaching Interests

My teaching interests include biostatistics, data science, and computational methods. I am particularly interested in courses involving statistical computing (R, Python, and Linux), linear regression models, and omics ata analysis. I strive to integrate real-world biomedical applications and reproducible research practices into teaching to enhance students鈥� analytical and problem-solving skills.

Scholarship

Selected Recent Publications

  • A novel Bayesian hierarchical model for detecting differential circadian pattern in transcriptomic applications., 2025
    Journal Article, Academic Journal
  • A Bayesian framework for genome-wide circadian rhythmicity biomarker detection., 2025
    Journal Article, Academic Journal
  • Morning Larks and Night Owls: Considering Chronotype in Evaluation of Patients with Pulmonary Hypertension, 2025
    Journal Article, Academic Journal
  • The core circadian clock factor, Bmal1, transduces sex-specific differences in both rhythmic and non-rhythmic gene expression in the mouse heart, 2024
    Journal Article, Academic Journal
  • Flavokavains A-and B-Free Kava Enhances Resilience against the Adverse Health Effects of Tobacco Smoke in Mice, 2024
    Journal Article, Academic Journal

Research Interests

My research focuses on developing statistical and computational methodologies for bioinformatics and omics data integration. I am especially interested in circadian and differential circadian analyses, Bayesian hierarchical models, and machine learning for high-dimensional data. I collaborate on projects related to cancer, Alzheimer鈥檚 disease, and cardiovascular disorders, aiming to translate data-driven insights into improved understanding of disease mechanisms and therapeutic strategies.

Department Service

  • Department Seminar Committee 2025 - Present

    Role: Committee Chair

  • Department Website Committe 2025 - Present

    Role: Committee Member

  • library committee 2025 - Present

    Role: Other

  • Data Science program committee 2024 - Present

    Role: Committee Member

  • Department library committee 2024 - 2025

    Role: Committee Chair

Professional Service

  • American Public Health Association (APHA) 2025 - Present

    Role: Session Chair

  • Genome Biology 2025 - Present

    Role: Reviewer, Journal Article

  • Journal of Pharmacokinetics and Pharmacodynamics 2025 - Present

    Role: Reviewer, Journal Article

  • Statistics in Medicine 2025 - Present

    Role: Reviewer, Journal Article

  • Molecular Neurobiology 2024 - Present

    Role: Reviewer, Journal Article