My work has been driven by a simple habit: whenever I encounter a complex problem, I try to understand the system that produces it before looking for a solution. Rather than treating individual symptoms, I look for the constraints and interactions that determine the behavior of the whole system.

This mindset has shaped every project I have worked on. Whether designing engineering systems, developing environmental technologies, or researching human-AI interaction, I tend to spend years iterating, testing assumptions, and refining models until I can explain the underlying mechanism rather than only describe the outcome.

I have chosen to pursue long-term independent research because some questions require sustained attention over many years. That path has been slower and financially uncertain, but it has given me the freedom to follow ideas wherever the evidence leads instead of where short-term incentives point.

I don't see disciplines such as engineering, AI, cybernetics, and cognitive science as isolated fields. Many of the problems that interest me emerge at their intersections, where advances often require integrating ideas that are usually studied separately. YXFD grew from that way of thinking.

I hope to contribute frameworks that are useful not because they are novel, but because they help researchers understand complex systems more clearly and provide a foundation that others can test, challenge, and improve.