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@kaist.ac.kr
Curriculum Vitae.pdfHello! I'm currently working as an Assistant Professor in the Department of Brain & Cognitive Sciences at KAIST. I am interested in developing mathematical frameworks to analyze biological systems. The following are SIAM NEWS links that introduce my studies:
I have exploited deep learning algorithms, Kalman filtering, queueing theory, Bayesian inference, agent-based modeling, topological data analysis, and differential equation modeling to investigate biological systems (e.g. the circadian clock).
Although trained as a mathematician, I have worked with biologists, pharmacologists, and doctors.
Mathematical Research Interests
Time-series analysis: Kalman filter, topological data analysis
Deep learning: recurrent neural network, autoencoder
Dynamical systems: oscillations, and coupled oscillators
Stochastic processes: queueing theory, multi-timescale stochastic simulation, and agent-based modeling
Parameter estimation: Bayesian inference, and global stochastic optimization methods (e.g. simulated annealing)
Biological Research Interests
Mammalian circadian rhythms: transcriptional and post-transcriptional regulation
Wearable data: Analysis of high-dimensional and noisy data collected with wearable devices
Precision medicine: Personalized chronotherapy with wearable technology and systems modeling
Chronotherapy: chronotherapeutic effect of R-CHOP on DLBCL patients
p53 oscillation: the effect of DNA damage on p53 oscillation and the circadian clock
Systems pharmacology: the effect of CK1 delta/epsilon inhibitor PF-670462 on circadian rhythms
Plant circadian rhythms: post-translational regulation via protein interaction