Overview
Gina-Maria Pomann, PhD, is Associate Professor of Biostatistics and Bioinformatics and Director of the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core at Duke University School of Medicine. She serves on the Duke AI Health Faculty Council, leading the development of AI collaborations across Duke to address challenges in healthcare. She also serves as Associate Professor at the Duke-NUS Centre for Quantitative Medicine in Singapore. She has developed functional data methodology and predictive modeling techniques for brain imaging, and has broad experience collaborating with investigators across biomedical fields such as Neurology, Surgery, Urology, Hospital Medicine, among others.Dr. Pomann has extensive leadership and administration experience, including the development and oversight of more than 30 teams of biostatistics and data science staff, faculty, and students, working on long term (multi-year) collaboration agreements with clinical and translational researchers. Under her leadership, the BERD Core has facilitated over 1600 collaborations that have generated more than 800 peer-reviewed publications.
In addition to directing the BERD Core Training and Internship Program (BCTIP), Dr. Pomann is Co-Principal Investigator on multiple NIH-funded training programs. She co-leads the Quantitative Methods for HIV/AIDS Research Program, offering internships, mentoring, and workshops for HIV researchers; and the Quantitative Team Science (QuanTS) Program, which provides open-access educational videos and a 7-month training program for quantitative scientists to improve their collaboration skills. She also serves as the co-Lead of the Community Development and Education Core of the Duke Multiscale Immune Systems Modeling (MISM) Center of Excellence. She was a co-founder of the biostats4you educational website and contributes to numerous other workforce development programs such as the Duke AI Health Fellowship Program.
Current Appointments & Affiliations
Recent Publications
Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice.
Journal Article J Stat Theory Pract · 2026 Strong statistical voice is defined as the ability to advocate and negotiate for good and ethical statistical practices, including integrating and resolving differing scientific approaches. This skill is crucial for biostatisticians who work on biomedical ... Full text Link to item CiteA Case Where It Is Better to have an Unstandardized measure of the Right Construct than a Standardized Measure of a Related One: Application to Coding Interviews Within a Course in SAS Programming
Journal Article Journal of Curriculum and Teaching · November 1, 2025 Interview-based examinations provide richer data than formats such as multiple choice and short answer, albeit at the cost of being less standardized. This describes administering a coding interview as the final examination in a class on SAS programming, p ... Full text CiteAdvancing workforce development and scientific collaboration: A novel resource for biostatistical education
Journal Article Journal of Clinical and Translational Science · January 2, 2025 A clinical and translational scientist (CTS) often seeks to increase their knowledge of statistical topics to effectively conduct biomedical research studies. A common method for obtaining this knowledge is through existing online educational materials tha ... Full text CiteRecent Grants
1/3 CTSA UM1 at Duke University
ResearchFaculty Member · Awarded by National Institutes of Health · 2025 - 2032Quantitative Team Science (QuanTS) Program
ResearchPrincipal Investigator · Awarded by University of Kentucky · 2024 - 2029Quantitative Methods for HIV/AIDS Research
Inst. Training Prgm or CMECo-Principal Investigator · Awarded by National Institute of Allergy and Infectious Diseases · 2018 - 2028View All Grants
Recent Artistic Works
Training for Clinical Research Investigators
Digital Media January 1, 2023 https://biostat.duke.edu/berd-methods-coreBERD Methods Core
Digital Media January 1, 2023 BERD Methods CoreBiostats4you
Digital Media January 1, 2023 https://biostats4you.umn.edu/View All Artistic Works