Dr. Brundage earned his PhD in Biomedical Informatics from Rutgers University in 2020, where his work focused on how clinicians used language. Dr. Brundage utilized AI and developed a web application to explore the prevalence and evaluation of potential abbreviations in intensive care documentation. He also holds an MBA in Health Administration and a BS in Health Informatics.
Dr. Brundage has experience in both industry and academia where he led specialized teams focused on clinical NLP and AI engineering solutions. Previously, he held concurrent appointments as Assistant Professor of Research in the Department of Pathology and Laboratory Medicine at Weill Cornell Medicine in Computational and Systems Pathology under Dr. Luigi Marchionni and Affiliate Lead Scientist in AI Operations and Data Science Services at Dana-Farber Cancer Institute from 2020 to 2022.
During his time at Weill Cornell and Dana-Farber, Dr. Brundage designed and deployed software for computational pathology, and led the design and implementation of cloud-based digital pathology infrastructure. He has contributed to major NIH/NCI-funded research initiatives including the Medical Image De-Identification Task Group and the Pan Prostate Cancer Project. His work spans biomedical informatics, artificial intelligence in healthcare, digital pathology, clinical NLP, and reproducible research methods.