Se-In JANG

I am currently working as an Associate Research Scientist at the Department of Radiology & Biomedical Imaging, Yale University, starting in 2025. Prior to this, I served as a Research Associate in the same department from 2024 to 2025. Before joining Yale, I was a Research Fellow from 2021 to 2023 at both the Gordon Center for Medical Imaging and the Center for Advanced Medical Computing and Analysis, affiliated with Massachusetts General Hospital (MGH) and Harvard Medical School. From 2019 to 2021, I held a Research Fellow position in the Department of Statistics and Applied Probability at the National University of Singapore. My academic background is rooted in South Korea, where I earned my Ph.D. from Yonsei University in 2019, following an M.S. degree in 2012 and a B.S. degree from Youngdong University in 2010.

My main research topics are as follows:

• Artificial General Intelligence
• Neural-symbolic Learning
• Medical Imaging
  (Denoising, Registration, Segmentation, Quality Assessment)
• Explainable AI
• Generative AI
• Self-supervised Learning
• Online Machine Learning
• Optimization

Selected Publication List, Google Scholar

Acknowledgements

I sincerely appreciate their enormous helps and supports during my journey. I could not stand here without them.

• Prof. Choong-Shik Park, U1 (Youngdong) University.
• Prof. Jaihie Kim, Yonsei University.
• Prof. Kar-Ann Toh, Yonsei University.
• Prof. Andrew Teoh Beng Jin, Yonsei University.
• Prof. Alexandre Thiery, National University of Singapore.
• Prof. Kuang Gong, University of Florida.
• Prof. Quanzheng Li, Massachusetts General Hospital and Harvard Medical School.
• Prof. Georges El Fakhri, Yale Universeity.
• Prof. Jinsong Ouyang, Yale Universeity.
• Prof. Chao Ma, Yale Universeity.
• Prof. Thibault Marin, Yale Universeity.