Dae Wook Kim

This paper improves sleep stage prediction from wearable data by combining topological data analysis and mathematical modeling, achieving better accuracy in REM and NREM classification.

The paper shows that proteins interact with the endoplasmic reticulum to accumulate near the nucleus without energy expenditure, following Chapmans law instead of Ficks law.

The paper develops a mathematical model showing how spatially coordinated phosphorylation of PER protein ensures precise and robust circadian rhythms despite spatiotemporal noise.