
Highly motivated undergraduate student with hands-on research experience in Brain-Computer Interface (BCI) and a deep interest in the intersection of neuroscience and Human-centric AI. During a research internship at GIST AWEAR Lab following my military service, I specialized in optimizing data acquisition for the 'SPINDLE' device by analyzing EEG and EMG signals to induce optimal brain states. Inspired by the PercepToM framework , I am eager to apply my experience in handling complex human-related data to improve Theory of Mind (ToM) in Large Language Models. Currently bridging the gap between neural signal processing and deep learning through intensive self-study, I aim to contribute to developing models that can effectively infer human perceptions and beliefs.