معرفی
Guillermo Sapiro is the Augustine Family Professor of Electrical and Computer Engineering at Princeton University, with affiliations in the Center for Statistics and Machine Learning, Princeton Precision Health, and the Program in Applied and Computational Mathematics. He holds a Ph.D. from the Technion (Israel Institute of Technology) and has held professorships at the University of Minnesota and Duke University. His research focuses on computer vision, medical imaging, and machine learning, with applications in autism detection, health AI, and biomedical data analysis. Sapiro leads a Health AI team at Apple, Inc.
Education:
- Ph.D., Electrical Engineering, Technion (1993)
- M.Sc., Electrical Engineering, Technion (1991)
- B.Sc., Electrical Engineering, Technion (1989)
Research interests include causal inference in networks, algorithmic fairness, and digital phenotyping for neurodevelopmental disorders. His work bridges theory and applications, with over 500 publications and a book on image processing. Notable contributions include Test-of-Time awards at ICCV 2011 and ICML 2019, and leadership roles in journals like the SIAM Journal on Imaging Sciences.
Publications highlight advancements in healthcare AI, such as autism screening via computer vision and cardiovascular modeling with wearables. Awards include membership in the National Academy of Engineering (2022) and American Academy of Arts and Sciences (2018).
Grants and advising span interdisciplinary projects, with advisees focusing on biomedical AI and signal processing. He collaborates globally, including on autism care initiatives in Africa (ACACIA trial) and portable medical devices like the Pocket Colposcope.
Labs/Teams: Leads Health AI at Apple, and collaborates with Princeton’s multidisciplinary institutes in computational mathematics and precision health.
