Gina-Maria Pomann

Dr. Pomann is a biostatistician and educator with extensive research, leadership, and administrative experience. Her methodological contributions include the development of novel statistical methodology and predictive modeling techniques with applications to functional data and brain imaging. Collaborating with investigators across biomedical fields, Dr. Pomann has published in areas such as Surgery, Urology, and Hospital Medicine, among others. To support the development of efficient and effective data-intensive research across the biomedical sciences, Dr. Pomann’s primary research focuses on the science of team science. She works with collaborators with diverse scientific expertise to develop administrative structures, scientific operational processes, methods for organizing quantitative collaboration units, and workforce development programs.

Dr. Pomann currently serves as an Associate Professor of Biostatistics and Bioinformatics and is the Director of the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core, a group of faculty and staff with diverse quantitative expertise (biostatisticians, data scientists, bioinformaticians, clinical informaticians, epidemiologists, etc.) contributing to groundbreaking research in clinical and translational domains. She has directed the development and management of 30 collaboration teams comprising biostatistics staff, faculty, and students. She has successfully developed collaboration teams across various medical fields, partnering with entities such as the Department of Pediatrics, the Global Health Institute, and the Department of Neurosurgery, to name a few. The programs she directs have helped over 1100 investigators identify appropriate collaborators with quantitative expertise and have led to the co-authorship of more than 550 collaborative manuscripts by quantitative staff and faculty within the BERD Core. More information about BERD can be found on our website: https://biostat.duke.edu/berd-methods-core .

In addition to building innovative processes and organizational structures to facilitate collaborations to drive data-intensive research, Dr. Pomann leads numerous workforce development programs for quantitative scientists. She develops processes and best practices to accelerate science and meet the evolving needs of data-driven clinical and translational research. Dr. Pomann developed the BERD Core Training and Internship Program (BCTIP), to provide a hands-on collaboration experience for Masters of Biostatistics students at Duke. She also oversees the Duke AI Health Fellowship Program, a two-year post graduate training program in data science and AI in Healthcare. Dr. Pomann is also 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 holds a joint appointment at Duke National University of Singapore which allows her to develop training programs for the international workforce. The programs she directs have supported and trained more than 40 staff, and 100 student interns to engage in data-intensive biomedical research.