Kim Dae-Won - Gaia
Max-Planck-Institut für Astronomie,
Kim received his PhD in 2012 at the Department of Astronomy, Yonsei University, South Korea. During his 5 year PhD period, he had been affiliated as a predoc at the Harvard-Smithsonian Center for Astrophysics to study time series analysis and QSO classification using machine learning.
He recently joined the Gaia CU8 group as a postdoc at MPIA, Heidelberg, and works for the classification of astronomical objects using machine learning algorithms.
His research interests are massive astronomical database analysis, source classification using machine learning, and time series analysis. Especially, he has a big interest in QSO variability.
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