Jeremias Sulam
Assistant Professor at The Johns Hopkins University
United States
Summary
👤
Senior🎓
Top SchoolJeremias Sulam is an Assistant Professor of Biomedical Engineering at Johns Hopkins University with a PhD in Computer Science and a decade of experience at the intersection of signal processing, machine learning, and medical imaging. His research focuses on inverse problems, optimization, sparse representation modeling, and deep learning methods for image restoration and medical image analysis. He combines rigorous theoretical grounding from Technion training with practical experience from IBM Research and hands-on teaching roles, enabling work that spans algorithm design to translational imaging applications. Known for bridging disciplines, he often applies computational insights from general image restoration to challenging biomedical problems, producing solutions that are both mathematically principled and practically impactful.
9 years of coding experience
Technion - Israel Institute of TechnologyBiomedical Engineer, Biomedical Engineering, Bioengineer, Biomedical Engineer, Biomedical Engineering, Bioengineer at Facultad de Ingeniería, Universidad Nacional de Entre Ríos
Github Skills (18)
matconvnet9
ranking9
science8
matlab8
computer-science7
react7
agile5
boost5
velocity5
agile-development5
pytorch5
markdown5
project-management4
typescript4
deep-learning4
Programming languages (3)
Github contributions (5)
jsulam/ml-ista
Jul 2018 - Nov 2018
Contributions:21 commits, 20 pushes, 1 branch in 4 months
jsulam/EN.580.709
Aug 2019 - Mar 2022
Contributions:5 pushes in 2 years 7 months
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