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Dae Wook Kim (김대욱), Ph.D.
Dae Wook Kim (김대욱), Ph.D.
Assistant Professor in the Department of Brain & Cognitive Sciences at KAIST
Address: 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
Office: Room 402-7, Meta-Convergence Building (W13)
E-mail: daewook(AT)kaist.ac.kr
Education
Education
2016-2021 Ph.D. Mathematical Sciences, KAIST, Republic of Korea
2012-2016 B.S. Mathematical Sciences, KAIST, Republic of Korea
Professional Experience
Professional Experience
Current Appointments
2024-present Assistant Professor, Department of Brain & Cognitive Sciences, KAIST, Republic of Korea
2025-present Core Faculty, KAIST Institute for Human Augmentation Convergence, KAIST, Republic of Korea
2026-present Core Faculty, KAIST-Formosa Bio R&D Center, KAIST, Republic of Korea
Previous Appointments
2024-2024 Assistant Professor, Department of Mathematics, Sogang University, Republic of Korea
2021-2024 James Van Loo Postdoctoral Fellow and Assistant Professor, Dept. of Math., Univ. of Michigan, USA
Eunbi Yoon (윤은비), Integrated Master's and Ph.D. Student
Eunbi Yoon (윤은비), Integrated Master's and Ph.D. Student
Graduate student in the Dept. of Brain & Cognitive Sciences at KAIST
Research interests
Score-based nonlinear filtering for state-space estimation
Score-based generative modeling
San Kim (김산), Integrated Master's and Ph.D. Student
San Kim (김산), Integrated Master's and Ph.D. Student
Graduate student in the Dept. of Brain & Cognitive Sciences at KAIST
Research interests
Nonlinear filtering and particle splitting methods
Mathematical modeling of the human circadian clock: Entrainment map
Yejoon Wang (왕예준), Integrated Master's and Ph.D. Student
Yejoon Wang (왕예준), Integrated Master's and Ph.D. Student
Graduate student in the Dept. of Brain & Cognitive Sciences at KAIST
Research interests
Representation learning for biological time-series data
Deep learning-based anomaly detection
Jae Kyung Lee (이재경), Integrated Master's and Ph.D. Student
Jae Kyung Lee (이재경), Integrated Master's and Ph.D. Student
Graduate student in the Dept. of Brain & Cognitive Sciences at KAIST
Research interests
Multi-scale modeling of brain development
Optimal neural stimulation for artificial vision
Deep learning for organoid multi-electrode array data analysis
Taesik Myeong (명태식), Undergrad. research intern
Taesik Myeong (명태식), Undergrad. research intern
Undergraduate student in the Dept. of Brain & Cognitive Sciences at KAIST
Research interests
Predicting individual circadian dynamics from actigraphy data
Mathematical modeling of the human circadian clock: Entrainment map
Geonhee Ryu (류건희), Undergrad. research intern
Geonhee Ryu (류건희), Undergrad. research intern
Undergraduate student in the Dept. of Mathematics at POSTECH
Research interests
Koopman-based learning of nonlinear and non-autonomous dynamics
Flow- and score-based generative modeling for biological data
Jeongwon Choe (최정원), Undergrad. research intern
Jeongwon Choe (최정원), Undergrad. research intern
Undergraduate student in the Dept. of Psychology at Sungshin Women's University (Double Major in AI)
Research interests
Brain state estimation from EEG
EEG-based prediction of neurodegenerative diseases
Jihae Kang (강지혜), Admin. Staff
Jihae Kang (강지혜), Admin. Staff
Dept. of Mathematical Sciences & Dept. of Brain & Cognitive Sciences at KAIST
Research support
Research grant management
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