I am a PhD candidate in Cognitive and Information Sciences at the University of California, Merced, graduating in Spring 2026. Prior to entering my PhD program, I graduated, honors, with a B.S. in Psychology-Neuroscience and an enhanced minor in Entrepreneurship and Innovation from the Pennsylvania State University.

My research interests include decision-making and judgment, visual attention, language comprehension, implicit cognition, and neuroeconomics. Using behavioral experiments and eye-tracking, I study how internally and externally driven factors influence attention and decision-making, including economic choices and investment decisions. I am also interested in the immediate sensorimotor feedback loop that can shape language comprehension and decision-making in real time.

I engage in various ongoing interdisciplinary collaborations and am open to interesting ideas and conversations. My collaborative reach spans human factors, data visualization design, human–AI interaction, and social cognition. In a project supported by Sandia National Laboratories, I led a large-scale study on the visual interfaces used by energy grid operators in control rooms across the U.S, focusing on improving how these interfaces support decision-making.

Mentorship and community building are also central to my work. I founded and served as president of RAISE (R, Artificial Intelligence & Statistics Education), a student-led organization that promotes accessible, interdisciplinary training in data science and AI methods. 

When not working, I enjoy spending time in nature, painting, visiting historical towns, and experimenting with family recipes.