I am a learning science researcher focusing on optimizing educational technology to be more human-centered, grounded in self-regulated learning theory.. I earned my PhD in Information from the University of Michigan under the supervision of Prof. Christopher Brooks.

I use mixed methods, experimental designs, statistical analyses, and machine learning to examine how technology can enhance learners’ agency and metacognition in today’s educational landscape.

My recent research includes:

• Advancing learner agency through human–AI interaction in digital educational environments
• Designing and validating research methods to measure adjustments in learner achievement motivation using trace data

Outside of research, I enjoy taking walks while listening to K-pop and audiobooks.