Changbong Hyeon

The paper uses Hi-C data to reconstruct 3D genome structures in Drosophila embryos and identifies pairing-induced domains formed by specific homologous interactions.

The paper applies compressed sensing to Drosophila connectomics data to reveal how odor information is represented and processed in the brain, showing sparse coding and perceptual saturation effects.

The paper develops a kinetic model to understand GPCR desensitization by integrating biochemical steps from ligand binding to receptor internalization, identifying three downregulation regimes based on phosphorylation, dephosphorylation, and beta-arrestin levels.

This paper introduces a polymer physics-based method to classify neurons using 3D coordinates, showing it complements existing methods and provides a physical understanding of neuronal morphology.

The paper examines the spatial organization of projection neurons in Drosophila and finds that it correlates with specific olfactory responses and signal integration in higher brain centers.

The paper shows that human olfactory receptor codes have a modular structure reflecting key olfactory features in odor perception.

The paper analyzes odorant-receptor interactions using a kinetic model to characterize OR activation statistics and their implications for odor perception.

The paper analyzes contact statistics in RNA and protein structures to show distinct scaling exponents, indicating different organizing principles between the two biopolymers.