Guillermo Sapiro

James B. Duke Distinguished Professor of Electrical and Computer Engineering

Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.

G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.

G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991,  the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992,  the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998,  the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018.

G. Sapiro is a Fellow of IEEE and SIAM.

G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.

Appointments and Affiliations

  • James B. Duke Distinguished Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information


  • D.Sc. Israel Institute of Technology (Israel), 1993

Research Interests

Image and video processing, computer vision, computer graphics, computational vision, biomedical imaging, brain imaging, cryo-tomography of viruses, computational tools in cryo-tomography, computational tools in early diagnosis of psychiatric disorders, differential geometry and differential equations, scientific computation, learning and high dimensional data analysis, sparse modeling and dictionary learning, applied mathematics.

Courses Taught

  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 891: Internship

In the News

Representative Publications

  • Perochon, Sam, J Matias Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Brian Eichner, Steven Espinosa, et al. “Early detection of autism using digital behavioral phenotyping.” Nat Med 29, no. 10 (October 2023): 2489–97.
  • Nazaret, Achille, and Guillermo Sapiro. “A large-scale observational study of the causal effects of a behavioral health nudge.” Science Advances 9, no. 38 (September 2023): eadi1752.
  • Chen, Junya, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, and Geraldine Dawson. “Enhancing early autism prediction based on electronic records using clinical narratives.” J Biomed Inform 144 (August 2023): 104390.
  • Coffman, Marika, J Matias Di Martino, Rachel Aiello, Kimberly L. H. Carpenter, Zhuoqing Chang, Scott Compton, Brian Eichner, et al. “Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.” Autism Res 16, no. 7 (July 2023): 1360–74.
  • Krishnappa Babu, Pradeep Raj, Vikram Aikat, J Matias Di Martino, Zhuoqing Chang, Sam Perochon, Steven Espinosa, Rachel Aiello, et al. “Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach.” Sci Rep 13, no. 1 (May 3, 2023): 7158.