Implemented and trained a contrastive representation learning model on intracranial recordings from epilepsy patients to learn behavior-aligned embeddings for emotion-state decoding; Refined and optimized training to improve held-out performance; Built a reusable training, evaluation, and attribution mapping pipeline.

PI: Patrick Hullet