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

February 22, 2024

Hopkins researchers receive Chan Zuckerberg Initiative awards

Adam Charles, Jamie Spangler, and Jeremias Sulam receive awards to address critical challenges in the fields of neurodegenerative disease and fundamental neuroscience.  

• December 12, 2023
  Brain imaging technique allows researchers to achieve more with less data
  Hopkins researchers develop new AI algorithm that can reconstruct brain images to identify potential biomarkers of neurodegenerative diseases.
• November 6, 2023
  Machine learning model calculates chemotherapy success in patients with osteosarcoma
  The model's results correlated 85% with those calculated by a musculoskeletal pathologist.
• 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.