Pierre Elias

Pierre Elias is an Assistant Professor in the Division of Cardiology and the Department of Biomedical Informatics at Columbia University Irving Medical Center, where he practices as a general cardiologist. He also serves as the Medical Director for Artificial Intelligence at NewYork-Presbyterian. His research focuses on developing machine learning technologies for medical imaging to enhance cardiovascular disease detection and management.

• Education: MD from Duke University School of Medicine
• Training: Internal Medicine residency and Cardiovascular Disease fellowship at Columbia University through the Clinician-Scientist Pathway

His work bridges artificial intelligence and clinical cardiology, supported by affiliations with the Health Analytics Center. He previously contributed to Google's Knowledge Graph for Health as a data scientist at Lumiata.

• Awards: STAT News Wunderkind, Emerging Generation Award (American Society of Clinical Investigation)

At Columbia, he integrates clinical practice with AI innovation, leading a research lab dedicated to cardiovascular imaging advancements.