I aim to bridge emotion, decision-making, and learning in future research, examining how humans perceive, think, and adapt to uncertainty through an interdisciplinary framework that integrates psychology, cognitive science, and design. My long-term goal is to understand the mechanisms that allow people to remain flexible and resilient when facing complex or changing environments.

I am particularly interested in adaptive processes across development, focusing on how individuals reorganize cognition and emotion to maintain balance. To address this, I plan to combine behavioral experiments, computational modeling, and neuroimaging methods to investigate how subjective experience interacts with objective neural systems in shaping adaptive mechanisms. This integrative approach will allow me to capture both the lived emotional dimension of adaptation and the measurable neural processes that underlie it.

Before moving into applied design, I intend to further study the coevolving dynamics of perception, learning, and decision-making in naturalistic and dynamic contexts, examining how the brain continuously adjusts behavior in response to feedback and environmental change. These findings will guide the translation of theoretical insights into real-world applications.

Ultimately, I aspire to design interactive systems that both measure and enhance human learning and emotional adaptability, uniting scientific inquiry with practical innovation. By grounding design in empirical research, I hope to create tools that promote emotional well-being, support adaptive learning, and foster meaningful interactions between humans and their environments.