Daniel Linder

Assistant Professor

Daniel Linder

Assistant Professor

Academic Appointment(s)

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

College of Nursing
Department of Biobehavioral Nursing

The Graduate School


I am an assistant professor of biostatistics with research interests that are at the intersection of molecular and systems biology, gene regulatory networks, and classical and Bayesian statistics.

  • (706) 721-5752
  • AE 1038


  • Ph.D., Biostatistics Georgia Health Sciences Univer, 2013

  • MS, Mathematics, General Georgia Southern University, 2008

  • BSMAT, Mathematics, General Georgia Southern University, 2006

Courses Taught Most Recent Academic Year

  • DATS 7900

    Capstone Proj in Data Science
  • STAT 8890

    Readings and Research
  • MEDI 6220

  • DATS 7760

    Data & Visual Analytics
  • STAT 9300

    Dissertation Research
  • STAT 7670

    Modern Methods Multivar Analys
  • MEDI 6340

    Capstone in Medicine 1
  • MEDI 6120

    Foundations of Medicine
  • MEDI 6330

    Healthcare Across the Lifespan

Teaching Interests

Bayesian statistics, statistical and machine learning, data science, mathematical biology


Selected Recent Publications

  • Clinical and Radiographic Characteristics of Diffuse Astrocytic Glioma, IDH-Wildtype, with Molecular Features of Glioblastoma-a single institution review, 2022
  • Epidemiological models, parameters, and prediction of the COVID-19 outbreak in a southwest Georgia hotspot, 2022
    Journal Article, Academic Journal
  • Successful quitting among US adult cigarette smokers: population assessment and hetlh (PATH) WAVE 5 (2018-2019), 2021
  • Descriptive Biostatistics and Epidemiology for Craniofacial Surgeons: The What, Who, When, Where, How, and Why in Data Description, Analysis, Presentations, and Interpretation, 2021
    Journal Article, Academic Journal
  • Incidence and risk factors for mucormycosis in renal transplant patients, 2021
    Journal Article, Academic Journal

Research Interests

High-dimensional Bayesian variable selection, reaction networks inference, Markov chain Monte-Carlo, stochastic reaction networks

Department Service

  • Data Science Program 2021 - Present

    Role: Other
  • Computing 2016 - Present

    Role: Committee Chair
  • Graduate Program Committee 2016 - Present

    Role: Committee Member
  • Data Science 2016 - 2021

    Role: Committee Member
  • Data Science Workshop Committee 2019 - 2019

    Role: Committee Member

University Service

  • Education Technology Advisory Committee 2020 - Present

    Role: Committee Member

Professional Service

  • 2017 - Present

    Role: Reviewer, Journal Article