Guillermo Sapiro, PhD

Guillermo Sapiro was born in Montevideo, Uruguay, on April 3, 1966. He 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 a 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. From 2012 to 2025 he was a James B. Duke School Professor with Duke University.

He is also a Distinguished Engineer with Apple, Inc., where he leads a team on Health AI.

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 500 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 and at ICML 2019, only researcher to receive Test-of-Time awards in both computer vision and machine learning major venues. He was elected to the American academy of Arts and Sciences in 2018 and to the National Academy of Engineering in 2022. G. Sapiro is also a Fellow of IEEE, SIAM. G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.