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Jeremias Sulam is an Assistant Professor at the Johns Hopkins Whiting School of Engineering, with a focus on the Department of Biomedical Engineering. He also has secondary appointments in the Department of Applied Mathematics and Statistics and is affiliated with the Mathematical Institute and the Data Science Center. His research interests primarily revolve around machine learning foundations and their applications in biomedical imaging, particularly relating to diagnostic imaging in radiology. His work emphasizes ethical implications and interpretability of data-driven methods, aiming to develop parsimonious data structures and robust machine learning approaches. Sulam's academic journey includes a degree in biomedical engineering from Universidad Nacional de Entre Ríos in Argentina and a PhD in computer science from the Technion, Israel Institute of Technology, completed in 2018.
Department of Pathology - PhD in Pathobiology. GRE is not required.