Haocheng Ding

Assistant Professor

Haocheng Ding

Assistant Professor

Academic Appointment(s)

Administration
Department of Biostatistics, Data Science, & Epidemiology

School of Public Health
Department of Biostatistics, Data Science, & Epidemiology

  • 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
  • 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’ analytical and problem-solving skills.

Scholarship

Selected Recent Publications

  • Morning Larks and Night Owls: Considering Chronotype in Evaluation of Patients with Pulmonary Hypertension, 2025
    Journal Article, Academic Journal
  • A Bayesian framework for genome-wide circadian rhythmicity biomarker detection., 2025
    Journal Article, Academic Journal
  • A novel Bayesian hierarchical model for detecting differential circadian pattern in transcriptomic applications., 2025
    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
  • 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

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’s 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
  • Data Science program committee 2024 - Present

    Role: Committee Member
  • Department library committee 2024 - Present

    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