Aurelio A. de los Reyes V

Hyeontae Jo

Pan Li

Bryan S. Hernandez

Daewook Kim

Seok Joo Chae

Hyukpyo Hong

Eui Min Jeong

Jaekyung Kim is an Associate Professor in the Department of Mathematical Sciences at KAIST and a Chief Investigator in the Biomedical Mathematics Group at IBS. His research interests encompass dynamical systems, inverse problems, stochastic processes, Bayesian inference, parameter estimation of ordinary differential equations, biological oscillators, systems pharmacology, cancer research, pharmacokinetics, and single-cell sequencing data analysis.

김재경 교수는 KAIST 수리과학과 부교수이자 IBS 의생명수학 그룹의 책임 연구자이다. 연구 분야는 동역학계, 역문제, 확률 과정, 베이즈 추론, 상미분 방정식의 매개변수 추정, 생물학적 진동자, 시스템 약리학, 암 연구, 약물 동태학, 단일 세포 시퀀싱 데이터 분석을 포함한다.

Validity of the total quasi-steady-state approximation in stochastic biochemical reaction networks

Inferring delays in partially observed gene regulatory networks

Hierarchical Bayesian models of transcriptional and translational regulation processes with delays

Density Physics-Informed Neural Network reveals sources of cell heterogeneity in signal

Inferring delays in partially observed gene regulation processes

Time delay model for the stochastic volatility with regime switching

Chemotherapy delivery time affects treatment outcomes of female patients with diffuse large B cell lymphoma

Noisy delay denoises biochemical oscillators

Beyond homogeneity: Assessing the validity of the Michaelis–Menten rate law in spatially heterogeneous environments

How cells tame noise while maintaining ultrasensitive transcriptional responses

Enhanced Circadian Phase Tracking: A 5-h DLMO Sampling Protocol Using Wearable Data

A history-dependent approach for accurate initial condition estimation in epidemic models

Bayesian inference of distributed time delay in transcriptional and translational regulation

Simplified and accurate approach to sleep disorder prediction using body composition metrics: a development and validation study

Less is more: machine learning-based shortened sleep questionnaires for efficient clinical practice

Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals

S1 Appendix for Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities

Analytic expression of total quasi steady state approximation in competitive target-mediated drug disposition

A framework for deriving analytic long-term behavior of

Validity conditions of approximations for a target-mediated drug disposition model: A novel first-order approximation and its comparison to other approximations

Supplementary Information for Reduction of Multiscale Stochastic Biochemical Reaction Networks using Exact Moment Derivation

Reduction for stochastic biochemical reaction networks with multiscale conservations

Initial Condition Decision to Ensure Reliable Circadian Phase Estimation with Shorter-Term Wearable Data

Predicting the risk of sleep disorders using a machine learning–based simple questionnaire: Development and validation study

Machine-learning validated short form of the Korean version of the Sleep-Related Behaviors Questionnaire-10 items: SRBQ-10

Circadian regulation of sinoatrial nodal cell pacemaking function: Dissecting the roles of autonomic control, body temperature, and local circadian rhythmicity

Robust perfect adaptation of reaction fluxes ensured by network topology

Individual and Occupational Predictors of Sleep Intervention Response Among Shift-Working Firefighters

Pharmacological manipulation of circadian rhythms in non-human primate: development of precision medicine

Reduction of multiscale stochastic biochemical reaction networks using exact moment derivation

Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities

A Digital, Real-Time, History-Based Sleep-Management Tool to Enhance Alertness

Cardiogenic and chronobiological mechanisms in seizure-induced sinus arrhythmias

Misuse of the Michaelis–Menten rate law for protein interaction networks and its remedy

Inferring causality in biological oscillators

Morse Decompositions of Regulatory Networks via Determining Nodes

The role of cerebellar short-term synaptic plasticity in the pathology and medication of downbeat nystagmus

Mathematical modeling and analysis for the mechanism underlying biological clocks

Universal Biology in Adaptation and Evolution: Dimensional Reduction, and Fluctuation-Response Relationship

Martin Nowak, Evolution of cooperation

Emergent genetic oscillations in a synthetic microbial consortium

A mechanism for robust circadian timekeeping via stoichiometric balance

Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters

A Period2 phosphoswitch regulates and temperature compensates circadian period

CK1δ/ε protein kinase primes the PER2 circadian phosphoswitch

A novel protein, CHRONO, functions as a core component of the mammalian circadian clock

Model-driven experimental approach reveals the complex regulatory distribution of p53 by the circadian factor Period 2

The validity of quasi-steady-state approximations in discrete stochastic simulations.

Rheostatic control of ABA signaling through HOS15-mediated OST1 degradation

Protein sequestration versus Hill-type repression in circadian clock models

Mutation of a PER2 phosphodegron perturbs the circadian phosphoswitch

Rhythmic transcription of Bmal1 stabilizes the circadian timekeeping system in mammals

The role of clock genes in sleep, stress and memory

Long-range temporal coordination of gene expression in synthetic microbial consortia

Modeling and validating chronic pharmacological manipulation of circadian rhythms

Stability of Wake-Sleep Cycles Requires Robust Degradation of the PERIOD Protein

Jae Kyoung Kim's Lab

교수님 소개

김재경

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Validity of the total quasi-steady-state approximation in stochastic biochemical reaction networks

How cells tame noise while maintaining ultrasensitive transcriptional responses

Enhanced Circadian Phase Tracking: A 5-h DLMO Sampling Protocol Using Wearable Data

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

김재경

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Validity of the total quasi-steady-state approximation in stochastic biochemical reaction networks

How cells tame noise while maintaining ultrasensitive transcriptional responses

Enhanced Circadian Phase Tracking: A 5-h DLMO Sampling Protocol Using Wearable Data

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집