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Mert Sabuncu

Vice Chair of AI & Engineering Research

Professor

School of Electrical and Computer Engineering

Mert Sabuncu
Mert Sabuncu
Other College Appointments
Cornell Tech
Weill Cornell Medicine

Biography

Mert R. Sabuncu joined Cornell University in July 2017 as Assistant Professor in the School of Electrical and Computer Engineering, with a secondary appointment in the School of Biomedical Engineering. Dr. Sabuncu was promoted to Professor in January 2023.

Dr. Sabuncu received a Ph.D. degree in Electrical Engineering from Princeton University, where his dissertation work focused on entropy-based image registration. He then moved to Massachusetts Institute of Technology (MIT) to do a post-doc at the Computer Science and Artificial Intelligence Lab (CSAIL). His post-doc work dealt with developing algorithms to analyze large-scale biomedical image data.

Research Interests

  • Biomedical image analysis, with application focus in neurology/neuroscience
  • Applied machine learning in bio-medicine
  • Probabilistic modeling of biological (e.g., genetic) data
  • Image processing, computer vision.
  • Biotechnology
  • Artificial Intelligence
  • Computer Aided Diagnosis
  • Image Analysis
  • Signal and Image Processing
  • Statistics and Machine Learning
  • Bioengineering
  • Biomedical Engineering
  • Biomedical Imaging and Instrumentation
  • Computational Science and Engineering
  • Neuroscience
  • Systems and Synthetic Biology
  • Systems and Networking
  • Bio-Electrical Engineering
  • Information Theory and Communications
  • Information, Networks, and Decision Systems

Select Publications

  • Ge, T., M. Reuter, A. M. Winkler, A. J. Holmes, P. H. Lee, L. S. Tirrell, Mert Sabuncu. 2016. “Multidimensional heritability of neuroanatomical shape.” Nature communications.

  • Sabuncu, Mert, E. Konukoglu. 2015. “Clinical prediction from structural brain MRI scans: a large-scale empirical study. “Neuroinformatics 13 (1).

  • Sabuncu, Mert, B. T. Yeo, K. Van Leemput, B. Fischl, P. Golland. 2010. “A generative model for image segmentation based on label fusion.” IEEE transactions on medical imaging 29 (10).

  • Sabuncu, Mert, B. D. Singer, B. Conroy, R. E. Bryan, P. J. Ramadge, J. V. Haxby. 2010. “Function-based intersubject alignment of human cortical anatomy.” Cerebral Cortex 20 (1).

Select Awards and Honors

  • Michael Tien '72 Sustained Excellence & Innovation in Engineering Education Award, College of Engineering, Cornell University 2021
  • Young Investigator Publication Impact Award, Co-authored paper, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2011
  • Career Development Grant (K25), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institute of Health (NIH) 2011
  • Catalyst KL2 Merit Award, Harvard University 2010
  • Outstanding Teaching Assistant Award, Department of Electrical Engineering, Princeton University 2006

Education

  • B.S., Electrical and Electronic Engineering, Middle East Technical University 2001
  • M.Eng., Electrical Engineering, Princeton University 2003
  • Ph.D., Electrical Engineering, Princeton University 2006

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