My research journey began in computational neuroscience and psychology, under Prof. Kiyohito Iigaya at Columbia’s Zuckerman Institute, where I explored how aesthetic emotions relate to psychiatric patterns. I later worked with Prof. Sam Gershman at Harvard as summer intern, studying reinforcement learning and anhedonia using multimodal health datasets. 

To bring these insights into real-world systems, I joined the XR and BCI groups led by Prof. Steve Feiner and Prof. Paul Sajda, where I conducted multi-visit XR studies and contributed to the development of a large-scale physiological foundation model. 

Currently, I’m a first-year PhD advised by with Prof. Xuhai “Orson” Xu on Human-AI-Interaction, Applied ML for Behavioral Health. 

Looking ahead to the Ph.D. and beyond, my work aims to unify three research threads:

1. AI Agents for Self-Exploration and Introspection 

2. Optimizing Behavioral Patterns through the Quantified Self

3. AI-assisted Creative Manifestation of Self