Christopher Haggerty PhD
Adjunct Assistant Professor of Biomedical Informatics; Director, Data Science at NewYork Presbyterian
Dr. Haggerty received a PhD in Biomedical Engineering from the Georgia Institute of Technology for research modeling the fluid mechanics of surgical palliation for congenital heart disease. Following a Postdoctoral Fellowship at the University of Kentucky Cardiovascular Research Center focused on Cardiac Magnetic Resonance Imaging, he moved to Geisinger Health in 2015. As a faculty member in Translational Data Science and Informatics, he developed and led NIH- and industry-funded research programs into cardiovascular genetics and machine learning from healthcare data, with particular focus on cardiovascular disease. Projects include the application of deep learning to electrocardiology and echocardiography for prediction of clinical endpoints, such as atrial fibrillation, structural heart disease, and all-cause mortality, and have resulted in several pending patent submissions, a breakthrough device designation from the FDA, and numerous high-impact publications.
In October 2022, Dr. Haggerty joined NewYork-Presbyterian as the Director of Data Science. He is also adjunct faculty in Columbia’s Department of Biomedical Informatics and a Co-Principal Investigator of the Cardiovascular and Radiologic Deep Learning Environment with Columbia’s Drs. Elias and Poterucha. The goal of this team is continuing to advance the development of data-driven models, but with particular focus on clinical translation and implementation to impact patients and providers across NYP.
In October 2022, Dr. Haggerty joined NewYork-Presbyterian as the Director of Data Science. He is also adjunct faculty in Columbia’s Department of Biomedical Informatics and a Co-Principal Investigator of the Cardiovascular and Radiologic Deep Learning Environment with Columbia’s Drs. Elias and Poterucha. The goal of this team is continuing to advance the development of data-driven models, but with particular focus on clinical translation and implementation to impact patients and providers across NYP.
