I aim to study how emotion, decision-making, and learning co-evolve as people adapt to uncertainty, using an interdisciplinary approach that integrates psychology, cognitive science, and design. Rather than treating adaptation as a stable trait or final outcome, I am interested in how flexibility and resilience emerge through interaction with changing environments and constraints.

My work focuses on adaptive processes across development, examining how individuals reorganize attention, cognition, and emotion in response to competing demands. I am particularly interested in moments where subjective experience diverges from objective performance, as these mismatches often reveal underlying strategies, beliefs, and limits of control. Understanding these dynamics requires approaches that capture both lived experience and measurable behavior as they unfold over time.

Methodologically, I am interested in using interactive systems as experimental environments. By combining behavioral experiments with computational models and designed task constraints, I aim to study how learning and decision-making reorganize in naturalistic, dynamic contexts. In this framework, technology is not only a tool for measurement or intervention, but a way to surface cognitive processes that are difficult to observe in static laboratory tasks.

I am especially drawn to using design as a form of inquiry: building systems that probe how perception, learning, and emotion adapt under uncertainty. Through iterative interaction, feedback, and constraint, these systems can act as mirrors of cognition, revealing how people negotiate complexity over time.

Ultimately, I aspire to create interactive systems that both study and support human adaptability. By grounding design in empirical investigation, I hope to develop technologies that deepen our understanding of learning and emotion while fostering more reflective, resilient, and meaningful human-environment interactions.