Gina-Maria Pomann

Gina-Maria Pomann, PhD, Core Lead, an Associate Professor in the Department of Biostatistics and Bioinformatics at the Duke University School of Medicine, is an accomplished biostatistician and educator with extensive research, leadership, and administrative experience. As the Director of the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core at Duke, she champions data-intensive research and workforce development. She serves on the Duke AI Health Faculty Council, leading the development of AI collaborations across Duke to address healthcare challenges. She also serves as an Associate Professor at the Duke-NUS Centre for Quantitative Medicine in Singapore, where she develops training programs for the international workforce. She has developed functional data methodologies and predictive modeling techniques for brain imaging and has broad experience collaborating with investigators across biomedical fields, including Neurology, Surgery, Urology, and Hospital Medicine. Under her leadership, the BERD Core has facilitated over 1,600 collaborations between biomedical investigators across the School of Medicine and appropriate quantitative collaborators, resulting in more than 800 peer-reviewed publications by quantitative staff and faculty within the BERD Methods Core. Dr. Pomann developed the BERD Core Training and Internship Program to provide a hands-on collaboration experience for Master’s of Biostatistics students at Duke. 

In addition, Dr. Pomann is Co-Principal Investigator on multiple NIH-funded training programs. She co-leads the Quantitative Methods for HIV/AIDS Research Program, which offers 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 is also a co-founder of the biostats4you educational website and contributes to numerous other workforce development programs, including the Duke AI Health Fellowship Program, a two-year post-graduate training program in data science and AI in Healthcare. 

In collaboration with program lead Dr. Cliburn Chan, Dr. Pomann is also the MPI of an R25 titled "Quantitative Methods for HIV/AIDS Research," facilitating internships for quantitative students as well as a mentored scholars program and workshop series for biomedical investigators. Dr. Pomann’s extensive leadership and administration experience, including the development and oversight of more than 30 teams of biostatistics and data science staff (>40), faculty (>20), and students (>95), working on long-term (multi-year) collaboration agreements with clinical and translational researchers to conduct data-intensive biomedical research. 

Dr. Pomann, with co-lead Dr. Pollara, will be jointly responsible for prioritizing MISM Community Development and Education Core (CDEC) activities, ensuring that the proposed activities and goals of the core are achieved, mentoring early-stage investigators, and maintaining open communication with overall program leads Dr. Keith Reeves and Dr. Cliburn Chan to ensure that CDEC activities align with the overall direction and goals of the MISM. Dr. Pomann will also lead coordination efforts to establish a national network of scientists modeling infectious and immune-mediated diseases.