Kyungjin Kim

This paper develops a machine learning model to predict neural microelectrode lifetimes from early-life data under accelerated aging conditions, achieving significant error reduction through feature engineering and calibration.

This paper develops a transparent soft microelectrode using electrohydrodynamic printing for chronic implantable biointerfaces, showing long-term stability and biocompatibility.