About
Se-In Jang is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale University (since 2025). Previously, he served as a Research Associate at Yale (2024–2025), a Research Fellow at Massachusetts General Hospital/Harvard Medical School (2021–2023), and a Research Fellow at the National University of Singapore (2019–2021). He earned his Ph.D. (2019), M.S. (2012), and B.S. (2010) from Yonsei University and Youngdong University, respectively.
Research Interests: Jang focuses on AI-driven medical imaging, including PET image denoising, tumor segmentation, generative models for medical data, and explainable AI. His work also spans neural-symbolic learning, self-supervised learning, and optimization techniques for medical applications.
Education:
- Ph.D., Yonsei University (2019)
- M.S., Yonsei University (2012)
- B.S., Youngdong University (2010)
Labs & Collaborations: He contributes to the Whisk Cup Streamline Lab, advancing AI and medical imaging research. His collaborations include Yale, Harvard, and institutions in Singapore.
