Hi, I'm Sierra Pan.
Psychology and Economics student at the University of Washington exploring how people think, decide, and learn through behavioral science and data.
I didn't begin college knowing that I wanted to pursue research.
What fascinated me at first was a simple question:
Why do people make the choices they do?
Studying both Psychology and Economics gradually showed me that many everyday decisions—from cooperation and learning to financial behavior—can be understood through both human cognition and quantitative analysis.
Rather than seeing these disciplines as separate, I found myself increasingly interested in where they overlap.
That curiosity eventually led me toward behavioral research, statistical modeling, and cognitive neuroscience.
Today, I continue exploring how data can help explain human behavior while seeking opportunities to contribute to research that connects theory with real-world impact.
When I first started conducting research, I wasn't simply learning statistical software.
I was learning how to ask better questions.
Whether analyzing wage determinants using large public datasets or designing experiments on empathy and moral decision-making, each project taught me that good research begins long before running analyses—it begins with curiosity.
As my interests evolved, I became increasingly drawn toward cognitive neuroscience, computational approaches, and understanding the mechanisms behind learning and memory.
This curiosity is what motivates me to continue pursuing research opportunities.