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Dae Wook Kim
Dae Wook Kim
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
Tel: 042 - 350 - 6524
Curriculum Vitae.pdfHello! I am currently an Assistant Professor in the Department of Brain and Cognitive Sciences at KAIST. My research focuses on developing mathematical frameworks for analyzing biological systems, such as the circadian clock. Below are links to articles from SIAM News and NSRR News that highlight my work:
Our lab employs advanced data analysis techniques such as nonlinear state-space estimation and probabilistic generative modeling to integratively analyze multimodal biophysiological signals. Through this approach, we develop digital biomarkers capable of quantitatively predicting disease onset, progression, and treatment responses in mental health disorders, sleep disturbances, and neurodegenerative diseases. Furthermore, the lab aims to uncover the fundamental operating principles of complex biological systems—including the brain—and to develop generalizable mathematical theories and precise scientific simulation frameworks based on these insights.
Mathematical Research Interests
Mathematical Research Interests
Time-series analysis: Bayesian filtering; Koopman operator; topological data analysis
Deep learning: Generative modeling; variational autoencoders
Dynamical systems: oscillations; coupled oscillators; whole-brain computational modeling at large scale
Stochastic processes: queueing theory; multi-timescale stochastic simulations; agent-based modeling
Parameter estimation: Bayesian inference; score matching; flow matching; global stochastic optimization methods
Biological Research Interests
Biological Research Interests
Wearable data: Analysis of high-dimensional, noisy data collected from wearable devices
Psychiatric disorders: Wearable-based biomarkers for depression; Computational psychiatry
Neural dynamics: Understanding brain function at multiple scales: molecular, cellular, network, and system levels
Precision medicine: Personalized chronotherapy using wearable technology and systems modeling
Chronotherapy: Time-of-day effects of R-CHOP treatment in DLBCL patients; time-of-day effects of tumor resection in GBM patients
Mammalian circadian rhythms: Transcriptional and post-transcriptional regulatory mechanisms
Plant circadian rhythms: Post-translational regulation through protein-protein interactions
p53 oscillation: Impact of DNA damage on p53 oscillations and their interplay with the circadian clock
Systems pharmacology: Influence of CK1δ/ε inhibitor PF-670462 on circadian rhythms
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