About
Mert R. Sabuncu is a Professor at Cornell University, affiliated with the College of Engineering's School of Electrical and Computer Engineering and the School of Biomedical Engineering. He joined Cornell in 2017 as an Assistant Professor and was promoted to Professor in 2023. His research focuses on biomedical image analysis, machine learning in biomedicine, and probabilistic modeling of biological data, with applications in neurology, neuroscience, and healthcare technology. Sabuncu holds a Ph.D. in Electrical Engineering from Princeton University (2006) and completed a postdoctoral fellowship at MIT's Computer Science and Artificial Intelligence Lab (CSAIL).
Research Interests:
- Biomedical image analysis and AI-driven diagnostics
- Neuroimaging and computational neuroscience
- Machine learning for medical image processing
- Probabilistic models for genetic and biological data
Recent Achievements:
- Recipient of the 2021 Michael Tien Award for Excellence in Engineering Education
- Lead researcher on AI models for Alzheimer’s disease progression and vocal fold pathology diagnosis
- Developed innovative tools like Krakencoder for brain connectome analysis and RealKeyMorph for medical image registration
Grants & Awards:
- National Institute of Health (NIH) Career Development Grant (2011)
- Harvard Catalyst KL2 Merit Award (2010)
- Outstanding Teaching Assistant Award, Princeton University (2006)
Labs & Teams: Sabuncu’s lab at Cornell integrates interdisciplinary approaches to advance AI in healthcare, collaborating with clinicians and biomedical engineers to translate algorithms into clinical tools.
