Ph.D. Bio and Brain Engineering, KAIST, Aug. 2019

• Thesis: Deep learning for artifact correction for CT & MR acquired from imperfect acquisition condition

• Advisor: Prof. Jong Chul Ye

M.S. Bio and Brain Engineering, KAIST, Feb. 2015

• Thesis: Multi-scale interior tomography using spectral blending in circular cone-beam trajectory

• Advisor: Prof. Jong Chul Ye

B.S. Biomedical Engineering, Kyung Hee University, Feb. 2013

Wecover Platforms., South Korea (May. 2022 - Nov. 2022)

• Technical Lead

• Parametric insurance and Pension service using blockchain

Harvard Medical School and Massachusetts General Hospital, USA (Sep. 2020 - Mar. 2022)

• Postdoctoral researcher in Department of Radiology

• Deep learning approach for medical image reconstruction and diagnosis

Los Alamos National Laboratory, USA (Nov. 2019 - Sep. 2020)

Postdoctoral researcher in Applied Mathematics and Plasma Physics (T-5) and Applied Modern Physics (P-21) Groups

Deep learning approach for limited-view tomography of dynamic processes