Biography
Our current research area aims to develop a general framework for quantifying multi-scaling imaging. Special emphasis will be on developing a novel image analysis tool to understand spatial distribution of cancer cells and their interactions. We will use and adapt state-of-art machine learning/deep learning techniques for exploratory data analysis by rigorous data integration.
Education and training
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- B.S., 2002, Aerospace Engineering, Korea Advanced Institute of Science and Technology
- M.S., 2004, Aerospace Engineering, Korea Advanced Institute of Science and Technology
- Ph.D., 2013, Mechanical Engineering (Control, Systems Theory), UC Berkeley
Memberships and associations:
- Editorial board for Computerized Medical Imaging and Graphics (2019-present)
Areas of interest
- Quantitative image analysis, Data-driven system identification, Control theory, Machine learning
Additional information
Honors and awards
- CRUK-OHSU Spark Award (2018)
Publications
Publications
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