David Brundage, PhD, MBA, RHIA, CPHIMS

David Brundage, PhD, MBA, RHIA, CPHIMS

I am an Assistant Professor of Research at Weill Cornell Medicine (WCM), working at the Division of Computational and Systems Pathology. My background is in Data Science and Informatics applied to clinical and digital health. I implement scalable cloud infrastructure and design data processing systems to support pathology and laboratory medicine. Oversee projects integrating electronic patient data from clinical and research systems to address clinical and translational science. Develop web applications to be integrated into digital pathology practice, education, and research. I was trained in Biomedical and Health Sciences and earned my PhD degree in Biomedical Informatics at Rutgers, The State University of New Jersey.

In this role, I have developed applications, data pipelines, and integrated systems to increase data access. Including: a containerized a Whole Slide Image to DICOM conversion application ran as an event-driven microservice, interactive data portals leveraging an in-house computational pathology library as back-end, and a cloud architecture to combine data lake with data warehouse features while automating secure data access in a researcher workspace. Our Data Lake enables the mapping of secondary clinical data to unstructured pathology data including Whole Slide Imaging and variant calling data.
Currently focused on developing frameworks and applications to enable distributed and remote education in computational pathology and image analysis. Bridging biological education with hands-on training in computational frameworks using scalable web applications.