Jeremias Sulam, PhD

Research Interests

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.

Titles

• Assistant Professor, Biomedical Engineering
• Assistant Professor, Computer Science

Affiliated Centers & Institutes

• Center for Imaging Science
• Kavli Neuroscience Discovery Institute
• Mathematical Institute for Data Science (MINDS)

Education

• PhD, Computer Science, Technion Israel Institute of Technology, Israel, 2018
• Biongineering, Universidad Nacional de Entre Rios, Argentina, 2013

Recent Highlights

June 8, 2023

Machine learning helps scientists see how the brain adapts to different environments

Visualizing connections between nerve cells in the brain could yield insights into how our brains change with learning, aging, injury, and disease.

• January 31, 2023
  Jeremias Sulam receives NSF CAREER award
  Jeremias Sulam, assistant professor in the Department of Biomedical Engineering, has been named a recipient of the National Science Foundation’s Early CAREER Award, which recognizes early-stage scholars with high levels of promise and excellence.
• December 8, 2020
  Eight from Hopkins BME earn Johns Hopkins Discovery Awards
  41 multidisciplinary endeavors have been selected to receive support this year from Johns Hopkins University's Discovery Awards program. Eight of these endeavors include faculty from the Department of Biomedical Engineering.
• June 27, 2019
  Meet Jeremias Sulam, assistant professor of BME
  Jeremias 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.