Mert Rory Sabuncu*
Professor
Cornell University and Cornell Tech
Vice Chair of AI and Engineering Research
Department of Radiology, Weill Cornell Medicine
Email: msabuncu at cornell dot edu
About
The Sabuncu Lab is a research group spanning Cornell Tech and Weill Cornell Medicine Radiology. We conduct research in the field of biomedical data analysis, in particular imaging data, and with an application emphasis on neuroscience and neurology. We use tools from signal/image processing, probabilistic modeling, statistical inference, computer vision, computational geometry, graph theory, and machine learning to develop algorithms that allow us to learn from and exploit large-scale biomedical data.
Mert Sabuncu received a PhD degree in Electrical Engineering from Princeton University, where his dissertation work focused on the image processing problem of establishing spatial correspondence across multiple clinical scans. Mert then moved to Massachusetts Institute of Technology (MIT) to do a post-doc at the Computer Science and Artificial Intelligence Lab (CSAIL), where he worked on biomedical image analysis.
Before joining Cornell’s School of Electrical and Computer Engineering, and Meinig School of Biomedical Engineering, Mert was a faculty member at the A.A Martinos Center for Biomedical Imaging (Massachusetts General Hospital and Harvard Medical School). In 2021, Mert moved to Cornell Tech and Weill Cornell Medicine in New York City, where he is currently a Professor of Electrical and Computer Engineering.
Mert is a co-founder and executive editor of MELBA (The Journal of Machine Learning for Biomedical Imaging), a web-based journal devoted to the free and unrestricted access of high quality articles in the broad field that bridges machine learning and biomedical imaging. He also co-launched the Machine Learning in Medicine initiative, which is a Cornell-wide inter-campus collaborative with the goal of bringing together researchers with common interests and complimentary expertise. MLIM also runs a webinar series, which is freely available to all.