Mert Sabuncu

Mert R. Sabuncu received the B.S. degree in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2001, and the Ph.D. degree in Electrical Engineering from Princeton University, Princeton, NJ, in 2006. He completed postdoctoral training at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. He is currently a Professor of Electrical and Computer Engineering at Cornell University and Cornell Tech, with a secondary appointment in the Department of Radiology at Weill Cornell Medicine.

His research lies at the intersection of artificial intelligence, signal processing, and biomedical imaging, with a particular emphasis on Artificial Intelligence for Medical Imaging. His work focuses on developing machine learning and statistical inference methods for analyzing high-dimensional imaging data, including medical image registration, segmentation, representation learning, and longitudinal modeling. A central theme of his research is combining modern deep learning with principled statistical modeling to enable robustness, interpretability, and generalization across populations, imaging modalities, and clinical settings. These methods are applied to large-scale neuroimaging studies and translational radiology problems, often in close collaboration with clinicians.

Sabuncu has authored or coauthored more than 200 peer-reviewed publications in leading journals and conferences spanning medical imaging, machine learning, and neuroscience. His work has been recognized with several honors, including an NSF CAREER Award and multiple MICCAI Young Scientist Awards. He is a Senior Member of IEEE.