Won Kyu Kim

This paper introduces a deep-learning method to predict spatially varying bending stiffness of biopolymers, showing high accuracy and revealing stiffness variations in filopodia and microtubules.

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.