320B Clark Hall
Research Areas
Biomedical Data Science

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.

The Sulam Group’s research focuses on sparse recovery, dictionary learning, and machine learning, with an interest in inverse problems in signal and image processing. In particular, Sulam is interested in the theoretical study of deep learning, as well as its application to detection, classification, and other problems in biomedical sciences.

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.