■ Interests- Explainable AI (XAI) application- Inverse problems- Battery modeling (electrochemical, data-driven)■ Projects involved- Prediction model building for sensor signal data using deep neural network- Prediction model building for incomplete (censored) biomedical data- XAI(eXplainable AI) framework baseline setup- Dialog system building using deep neural network- Automated Battery Cell Design with generative AI model■ Education- Visiting researcher (government funded), Language Technology Institute, Carnegie Mellon University (CMU)- Master's degree, Department of Statistics, Korea University- Bachelor's degree, Department of Statistics, Korea University