Dae-won Kim
Senior Researcher at Electronics and Telecommunications Research Institute (ETRI)
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolDae-won Kim is a senior researcher and astronomer-turned-data scientist with 11 years of experience applying machine learning and Bayesian analysis to massive astronomical surveys such as Gaia, Pan-STARRS, MACHO, EROS, TAOS and TAOS II. He has led source classification and astrophysical parameter estimation projects at institutions including the Max-Planck Institute, Harvard-Smithsonian CFA, Academia Sinica, and currently ETRI, and is first author on multiple SCI papers with over 20 co-authored publications including a Nature paper. Practically fluent in both supervised and unsupervised ML since 2008, he specializes in time-series modeling and extracting subtle patterns from extremely large datasets. His work blends rigorous academic research with production-oriented data analysis, and his long record of international collaborations reflects a knack for turning complex astronomical problems into reproducible, machine-learned solutions.
11 years of coding experience
7 years of employment as a software developer
ph.D, Astronomy, ph.D, Astronomy at 연세대학교 / Yonsei University
Korean, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
periodic10
astronomy9
classification9
machine-learning7
mat6
mask3
pytorch2
inpainting2
deep-learning2
transformer2
Programming languages (1)
Github contributions (5)
dwkim78/pdtrend
Apr 2016 - Jan 2017
Contributions:38 commits, 39 pushes, 1 branch in 9 months
dwkim78/ASTRiDE
Feb 2016 - Jul 2018
AUTOMATED STREAK DETECTION FOR ASTRONOMICAL IMAGES
Contributions:128 commits, 9 PRs, 153 pushes in 2 years 5 months
astronomical-imagesstreaksentinel-1astronomy
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