Faulty List At SAIHST, we have faculties from various backgrounds such as ; basic science, clinical medicine, pharmacology, engineering, business etc. SAIHST is always open for future competent faculties to lead biomedical science.
| Kwangsun Ray Yoo / Ph.D. |
Name : Kwangsun Ray Yoo Ph.D.
Department : SAIHST
Title : Assistant Professor
Campus : Samsung medical center campus
Office : Cancer Center B4-미정, Samsung Medical Center, Ilwon-ro 81, Gangnam-gu, Seoul, South Korea
E-mail : rayksyoo@skku.edu, kwangsunray.yoo@samsung.com
Homepage : https://sites.google.com/view/yook
Lab. title : Yoo Lab – Neurocomputing and Artificial Intelligence Laboratory
Related Department : Department of Digital health, Department of Medical Device Management and Research
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■ Careers
2005-2009 B.S. (Physics/Mathematical Sciences), KAIST 2009-2011 M.S. (Bio and Brain Engineering), KAIST 2011-2015 Ph.D. (Bio and Brain Engineering), KAIST 2015-2017 Postdoctoral Researcher, KAIST 2017-2021 Postdoctoral Associate (Psychology), Yale University 2021-2023 Associate Research Scientist (Psychology), Yale University 2023- Present Assistant Professor (Digital Health), SKKU SAIHST 2023- Present Assistant Professor (Data Science), Samsung Medical Center ■ Lab Introduction Yoo Lab – Neurocomputing and Artificial Intelligence Laboratory – explores the complex dynamics of the brain while developing cutting-edge computational technologies. Our lab aims to understand the working principles of the brain through big data-based computational modeling (Yoo et al., 2022. Nature Human Behaviour; 2022 NeuroImage; 2021 PNAS). In addition, we seek to develop medical AI systems for digital healthcare by understanding human intelligence through AI applications and advancing AI technology based on our understanding of human intelligence (Wang and Yoo et al., 2021. npj Parkinson’s disease; Jiang et al., 2023 The Lancet Digital Health). ■ Selected Publications (2019 ~ Present) 1. A brain-based general measure of attention. Nature Human Behaviour. 2022 June; 6: 782-795. 2. Antagonistic network signature of motor function in Parkinson’s disease revealed by connectome-based predictive modeling. npj Parkinson’s Disease. 2022 Apr; 8: 49. 3. Predicting multilingual effects on executive function and individual connectomes in children: an ABCD Study. PNAS. 2021 Dec; 118(49): e2110811118. 4. A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage. 2022 Aug; 257: 119279. 5. Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank. The Lancet Digital Health. 2023 June 11;2022:4711499 |