I am passionate about exploring the relationships among human cognitive abilities, computational skills, and consumer behaviors. My interdisciplinary major at the University of Pennsylvania, where I study Cognitive Science with a concentration in Computation & Cognition, has allowed me to delve deeply into these areas through coursework in computer science, psychology, marketing, statistics, and linguistics.

During my high school years, I authored and published two significant research projects: "Game Theory Analysis of the Proof of Work Consensus Algorithm" and "A Multiple Linear Regression Analysis of Virginia Schools to Predict Dropout Rates." These studies helped me deepen my understanding of cryptography and artificial intelligence. In college, I have worked at KPMG Korea as a financial data analytics and audit assistance intern to gain industrial experience in data analysis and financial literacy.

Since then, my focus has shifted toward analyzing computation and the human mind through advanced data analysis and research methods, skills I have actively applied in industry experiences. Looking forward, I aim to leverage this expertise further in the fields of finance, consulting, and entrepreneurship.