Academic Staff

My research focuses on integrating behavioral and biological data to develop personalized, holistic mental health interventions. In collaboration with industrial partners, I am designing innovative and scalable methods—such as gamified experimental paradigms powered by AI and large language models (LLMs)—to measure cognitive and emotional responses. These responses include attention, emotional bias, strategic flexibility, and achievement, which facilitate expression detection and support counseling efforts.

By leveraging data from individual gut microbiome profiles and metabolite analyses, I aim to elucidate how complex microbial and metabolic interactions influence mental health. To explore higher-order interactions within the microbiome, our team has developed a mathematical model for pairwise bacterial interactions. This work paves the way for system-based investigations of host-microbiota relationships and their implications for mental well-being.

Recognizing diet as a key intervention point, I seek to develop evidence-based strategies by studying the mechanistic processes through which dietary components are metabolized by the gut microbiome and how these metabolic activities affect the host. Specifically, my research is designed to examine how dietary substances are processed within the gut, cross the intestinal permeability barrier, and access the blood-brain barrier.

To synthesize these diverse data streams, I am creating a knowledge management platform that visualizes complex interactions and enables inference at a system level. This integrated platform aims to uncover the underlying biological mechanisms of mental health conditions, including novel metabolic or signaling pathways, thereby supporting the development of precision medicine and nutrition strategies for personalized risk assessment and targeted interventions.