Jeremias’ research focuses on sparse recovery, dictionary learning and machine learning, with an interest in inverse problems in signal and image processing. In particular, he is interested in the theoretical study of deep learning, as well as its application to detection, classification and other problems in biomedical sciences.
- PhD, Computer Science, Technion Israel Institute of Technology, Israel, 2018
- Biongineering, Universidad Nacional de Entre Rios, Argentina, 2013
June 27, 2019Jeremias Sulam joined the Johns Hopkins Department of Biomedical Engineering as an assistant professor in October 2018. In this interview, Sulam discusses his research, his passion for engineering, and his advice for current students.