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 and is a member of the Data Science and AI Institute.
Jeremias’ research focuses on the foundations of machine learning and applications to biomedical imaging. He is interested in learning under parsimonious structures in data, robustness, and ethical implications of data-driven methods, as well as in the interpretability and auditing of the resulting 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.