About Me

I'm a postdoctoral researcher at Princeton University in the Intelligent Performance and Adaptation Laboratory.

My research bridges cognitive psychology, neuroscience, and computational modeling to understand how humans learn and remember complex information, with a particular focus on motor skill acquisition and memory consolidation. Outside the lab, I'm an avid traveler and backpacker. In my free time, I work on developing MIDIScale, an ear-training app focusing on the AP exam curriculum.

Education

• Ph.D. in Experimental Psychology — University of California, San Diego (2019-2024)
• M.A. in Psychology — University of California, San Diego (2019-2021)
• B.S. in Neuroscience, B.S. in Psychology — Michigan State University (2013-2017)

Research Approach

My research combines behavioral experimentation, computational modeling, and theory development to understand the algorithms of human learning and memory. I focus on how people acquire, retain, and retrieve complex information, particularly in the context of motor skills and episodic memory:

• Behavioral studies with human subjects to observe learning patterns
• Statistical analysis of large-scale datasets to identify learning principles
• Computational models that simulate learning and memory processes
• Applications of cognitive theory to real-world learning contexts