Kinam Hyun

This paper develops a low-cost, multi-nozzle 3D bioprinter capable of printing up to 10 different bioinks with high positional accuracy and repeatability.

This paper introduces a novel conductive bioink, GelMA-OrnMA, that supports astrocyte proliferation, matches native neural tissue stiffness, and provides electrical conductivity for engineered neural tissues.

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.