Seok Joo Chae (채석주)
Ph.D. candidate in KAIST mathbio lab and IBS BIMAG.
291, Daehak-ro, Daejeon
Department of Math. Sci.
KAIST
I am a graduate student in the Department of Mathematical Sciences at KAIST (Korea Advanced Institute of Science and Technology).
My research interest lies in analyzing biological systems by mathematical tools. So far, I have worked on mathematical modeling of circadian clocks, analyzing intracellular diffusion of proteins, optimizing immunotherapy, and causality detection in biological systems.
My supervisor is Jae Kyoung Kim in KAIST and IBS Biomedical Mathematics group.
Although I am a mathematician by training, I have worked with many experimental biologists and doctors.
selected publications
- scLENS: data-driven signal detection for unbiased scRNA-seq data analysisNature Communications, 2024
- (In minor revision for PLoS Computational Biology) Beyond homogeneity: Assessing the validity of the Michaelis–Menten rate law in spatially heterogeneous Environments2024