My research focuses on how our thought processes interact with categorical knowledge and processes associated category learning like attention and information search. I am particularly interested in how such interactive processes are unfold over time in a dynamic, interactive environment. I’m also interested in how cognitive models can bridge multiple levels of data manifesting the same cognitive processes. I use experimentation, computational cognitive modeling, Bayesian methods, and machine learning approaches.
I received my Masters in Psychology degree in Seoul National University under the supervision of Dr. Jooyong Park, studying analogical reasoning and problem-solving processes. I received my Ph.D. in Psychology from The Ohio State University (OSU) in 2021, under the supervision of Dr. Brandon Turner. My research at OSU was centered around a joint modeling framework that incorporates neural and behavioral data to explain cognitive processes, and how category learning in an interactive but biased environment (mis)guides representational learning. I was a postdoctoral researcher at Vanderbilt University and collaborated with Dr. Thomas Palmeri, Dr. Gordon Logan, and Dr. Jeffrey Schall. At Vanderbilt, I investigated how a cognitive model of visual attention can bridge neurophysiological and electrophysiological signals manifesting visual search processes. I also worked with Dr. Roger Beaty at Pennsylvania State University, studying AI-based automation of creativity assessment.