Jeremias Sulam is an assistant professor in the Department of Biomedical Engineering, and is also affiliated with the Mathematical Institute for Data Science and the Center for Imaging Science. He holds a secondary appointment in the Department of Applied Mathematics and Statistics.
Jeremias’ research focuses on foundations of machine learning as well as applications to biomedical imaging. He is interested in learning under parsimonious data, robustness and ethical implications of machine learning, as well as on the interpretability and auditing of these models. His work is motivated by applications of diagnostic imaging in radiology, inverse problems, and biomarker discovery in neuroscience and digital pathology.
He studied biomedical engineering at the Universidad Nacional de Entre Ríos in Argentina in 2013, and earned his PhD in computer science from the Technion Israel Institute of Technology in 2018.
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Three faculty members receive Chan Zuckerberg Initiative awards. Benjamin Schafer recognized.
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A Johns Hopkins team has developed a new algorithm that can create 'super-scans' of the brain.
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The award recognizes early-stage scholars with high levels of promise and excellence.