Education
Ph.D. in Electrical and Computer Engineering, and Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 2018
Thesis: "Deep learning for feature discovery in brain MRIs for patient-level classification with applications to multiple sclerosis"
Supervisory committee: Dr. Roger Tam (advisor), Dr. Anthony Trabolulsee, Dr. Ghasan Hamarneh, Dr. Purang Abolmaesumi and Dr. Jane Z. Wang
Examining committee: Dr. Shuo Li, Dr. Alexandre Bouchard-Côté and Dr. Donna Lang
M.A.Sc. in Electrical and Computer Engineering, and Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 2013
Thesis: "Robust and fast T2 decay analysis for measuring myelin water in MRI"
Supervisory committee: Dr. Roger Tam (advisor), Dr. Alex MacKay, Dr. Purang Abolmaesumi, and Dr. Rafeef Abugharbieh
M.S. in Electrical Engineering, State University of New York at Buffalo, NY, USA, 2004
B.S. in Information Control Engineering, Kwangwoon University, Seoul, Korea, 2003
Work Experience
Staff AI/ML Scientist, Siemens Healthineers, Princeton, NJ, USA, 2021 ~ present
Senior Research Scientist, Siemens Healthineers, Princeton, NJ, USA, 2018 ~ 2021
Graduate Researcher, Multiple Sclerosis/MRI Research Group, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada, 2011 ~ 2018
Research Staff Member, Digital Imaging Group, SAMSUNG Advanced Institute of Technology, Yongin-si, Republic of Korea, 2005 ~ 2011
Research Intern, Global Internship Program, Telecommunication Network Division, SAMSUNG Electronics, Suwon-si, Republic of Korea, 05/2004 ~ 08/2004
Honors and Awards
R&D 100 Awards 2022 - Siemens Healthineers Intelligent Emergency Imaging
MICCAI 2022 Outstanding Reviewer Award Honorable Mentions
Siemens Technology Excellence Award 2021 (for developing the brain hemorrhage detection and segmentation system)
Travel Award by the UBC MS Connect Education Program and the Christopher Foundation (CAD$ 1,000), 2017
Travel Award by the MICCAI Society (CAD$ 720), 2017
Doctoral Scholarship Awards by the Multiple Sclerosis Society of Canada (CAD$ 22,000 per year), 2016, 2017.
Research proposal title: Developing artificial neural networks for predicting individual disease course in multiple sclerosis from brain MRI data
Western Pacific endMS Regional Research and Training Centre (WPRRTC) Conference Travel Award, University of British Columbia, 2014 (CAD$ 1,500)
Doctoral Scholarship Award by the Multiple Sclerosis Society of Canada (CAD$ 20,000), 2014.
Research proposal title: Improving the reproducibility and robustness of myelin measurements in multiple sclerosis patients by advanced image processing
Western Pacific endMS Regional Research and Training Centre (WPRRTC) Conference Travel Award, University of British Columbia, 2013 (CAD$ 1,500)
Engineers in Scrubs (EiS) Graduate Student Award, Biomedical Engineering Program, University of British Columbia, 2013 (CAD$ 26,000)
Annual Gold Prize for Excellent Technology Transfer, SAMSUNG Electronics, 2009
Merit based Scholarship, Kwangwoon University, 1999, 2000, 2002
Official Commendation for Distinguished Service, Korea Army, 1998
Skills
Python, PyTorch, Theano
C++
MATLAB
GPU programming: CUDA
Shell scripting
Linux/UNIX, OS X, Windows
Microsoft Office, Latex
Selected Courses
Clinical and Industrial Practice of Biomedical Engineering
Anatomy and Physiology with Applications to Biomedical Devices
Anatomy, Physiology and Statistics for Medical Physicists
Orientation to the Clinical Environment
Interdisciplinary Team Project in Medical Innovation
Professional Skills Workshop Courses (Writing for Graduate Students, Technical and Scientific Writing, Instructional Skills, Project Management)
Medical Image Analysis
Machine Learning and Data Mining
Fundamentals of Visual Computing
Probability and Stochastic Process for Engineering
Computer Vision and Image Processing
Peer Review
IEEE Transactions on Medical Imaging
NeuroImage
Human Brain Mapping
Engineering Applications of Artificial Intelligence
Computerized Medical Imaging and Graphics
Nature Scientific Reports
International Conference on Medical Image Computing & Computer-Assisted Intervention (MICCAI)
MICCAI Workshop on Deep Learning in Medical Image Analysis