people
Blake Dewey, PhD
Dr. Dewey is an Assistant Professor of Neurology at the Johns Hopkins School of Medicine with appointments in Biomedical Informatics and Data Science, as well as Electrical and Computer Engineering and a faculty member of the Data Science and AI Institute. He joined Hopkins as a graduate student in Electrical and Computer Engineering in 2015, earned his PhD in 2021, completed a National MS Society Postdoctoral Research Fellowship in Neuroimmunology, and joined the faculty in 2024. His lab develops AI and image-analysis methods for heterogeneous clinical imaging data, with emphasis on MRI harmonization, super-resolution, quality control, and scalable analysis of routinely acquired images. Current work also includes generative models for brain MRI, generative priors for MRI inverse problems, and uncertainty-aware image recovery. The lab applies these methods across neuroimmunology, aging, dementia, ophthalmic imaging, and access-oriented MRI research.
Samuel Remedios, PhD
Samuel W. Remedios received the B.S. degree in computer science from Middle Tennessee State University in 2019 and the M.S.E. and Ph.D. degrees in computer science from Johns Hopkins University in 2023 and 2025, respectively. He was an NSF Graduate Research Fellow from 2020 to 2025 and has served on the organizing committee of the SASHIMI workshop since 2024. His research develops inverse-problem and machine-learning methods for medical image analysis, with particular emphasis on MRI reconstruction, super-resolution, and reliable imaging algorithms.