Research Interests
Research Interests
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.
Titles & Affiliations
Titles
- Assistant Professor, Biomedical Engineering
- Assistant Professor, Computer Science
- Assistant Professor, Applied Mathematics and Statistics
Affiliated Centers & Institutes
Education
Education
- PhD, Computer Science, Technion Israel Institute of Technology, Israel, 2018
- Biongineering, Universidad Nacional de Entre Rios, Argentina, 2013
Faculty News
Recent Highlights
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June 24, 2024Each honoree will each receive a $75,000 grant to support their work over the next year. They also will have the opportunity to participate in mentoring sessions and events designed to connect them with colleagues at similar stages in their careers.
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February 22, 2024Adam Charles, Jamie Spangler, and Jeremias Sulam receive awards to address critical challenges in the fields of neurodegenerative disease and fundamental neuroscience.
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December 12, 2023Hopkins researchers develop new AI algorithm that can reconstruct brain images to identify potential biomarkers of neurodegenerative diseases.