Simon S. Park

This paper develops a photocrosslinkable liver decellularized extracellular matrix hydrogel for 3D bioprinting, showing enhanced liver cell proliferation and function.

The paper develops machine learning models to predict droplet volumes in bioprinting by optimizing parameters like viscosity and pressure, achieving precise volume control for biomedical applications.

This study develops a GelMA/nanoclay composite hydrogel for vascularized liver tissue bioprinting, optimizing its properties to support cell behavior and perfusion.