This project focuses on developing and creating rigorous evaluation frameworks for multimodal foundation and large language models to advance mental health research and clinical applications. Leveraging advanced AI techniques, we integrate diverse data types—including text, imagery, and behavioral data—to develop tools that support psychiatric diagnosis, prognosis, and personalized treatment. Our innovative approach aims to bridge computational insights with clinical practice.