Overview
The Division of Translational Biomedical Informatics is led by Ben Goldstein, PhD, and serves as the academic home for bioinformatics researchers within the School of Medicine (SOM). The division is currently comprised of 14 research-oriented faculty members, as well as postdoctoral associates, PhD students, and lab research staff who focus on the application of information technology based methods to facilitate collaboration between fundamental sciences and clinical practice. Our faculty are recognized as international leaders in the application of biomedical informatics theories and methods to advance clinical and translational science.
Their expertise covers such areas as artificial intelligence, cancer informatics, cancer genomics, clinical trial operations, electronic health records data, health information technology, imaging, information retrieval, machine learning, national and international standards, natural language processing, precision oncology, predictive modeling, research provenance, and many other areas.
Division faculty are actively engaged at the national and international level as well as with institutional initiatives and programs at Duke, including:
- Leadership and membership roles in the Duke Medical School, Duke Health, the Duke Clinical Research Institute (DCRI), the Duke Cancer Institute (DCI) and the Duke Global Health Institute (DGHI), and Duke Forge and Duke Crucible
- Leadership, teaching and mentoring roles in the Biostatistics, Masters and PhD educational programs;
- Serving as Fellows for the American College of Medical Informatics, and the American Institute for Medical and Biological Engineering
- Leadership roles and Associate Editor for the Journal of the American Medical Informatics Association and Associate Editor for the Journal of Biomedical Informatics
- Serving as Chief Data Officer for NC Department of Health and Human Services
Researchers & Interests
The division consists of faculty, researchers and students with expertise in a wide range of translational biomedical informatic topics such as data visualization, integrated data analysis, omics, standards development ontologies and annotionations, cloud computing and natural language processing.
Members of the division represent varied research interests spanning the field of informatics including artificial intelligence, cancer informatics, cancer genomics, clinical trial operations, electronic health records data, health information technology, imaging, information retrieval, machine learning, national and international standards, natural language processing, precision oncology, predictive modeling, research provenance, and many other areas. Whether working independently or collaboratively, the group strives to use data, analytics and modeling to improve our understanding of the health and health outcomes of our patients and our communities.
We invite you to learn more about the people in our division and specific interests of the group.