Research topic: Biochemical reaction network model reduction, Analysis and application of human activity/sleep data from wearable devices via mathematical model
1. Song YM, Hong H, Kim JK, Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities, PLoS Comp Biol (2021)
2. Jeong EM, Song YM, Kim JK, Combined multiple transcriptional repression mechanisms generate ultrasensitivity and oscillations, Interface Focus (2022)
3. Vu NT, Song YM, Tran QT, Yun H, Kim SK, Chae J, Kim JK, Beyond the Michaelis-Menten: Accurate Prediction of Drug Interactions through Cytochrome P450 3A4 Induction, Clinical Pharmacology & Therapeutics (2023)
4. Song YM, Choi SJ, Park SH, Lee SJ, Joo EY, Kim JK, A real-time, personalized sleep intervention using mathematical modelling and wearable devices, Sleep (2023)
5. Lee MP, Hoang K, Park S, Song YM, Joo EY, Chang W, Kim JH, Kim JK, Imputing Missing Sleep Data from Wearables with Neural Networks in Real-World Settings, Sleep (2023)
6. Song YM, Campbell S, Shiau L, Kim JK, Ott W, Noisy delay denoises biochemical oscillators, Physical Review Letters (2024)
7. Song YM, Jeong J, de los Reyes AV, Lim D, Cho C-H, Yeom JW, Lee T, Lee J-B, Lee H-J, Kim JK, Causal Dynamics of Sleep, Circadian Rhythm, and Mood in Major Depression and Bipolar Disorder Patients: Insights from Longitudinal Wearable Device Data, eBiomedicine (2024)
8. Lim D, Jeong J, Song YM, Lee H-J, Kim JK, Highly Accurate Prediction of Mood Episodes in Mood Disorder Patients Using Sleep and Circadian Rhythm Features from Wearables (Submitted)
9. Song YM, Jeon S, Cho A, Chung S, Ahn Y, Kim JK, Suh S, Predictors of Sleep Quality Trajectories and Alertness in Shift Workers Undergoing Cognitive-Behavioral Therapy for insomnia (Submitted)