My overarching goal is to understand cognition in naturalistic environments using computational models. I focus on sensorimotor integration, examining how the brain generates predictions, detects prediction errors, and uses these errors to update behaviour. To investigate these processes, I combine virtual reality, mobile EEG, motion tracking, and computational modeling.

My dissertation focuses on closed-loop control during navigation in virtual reality, advised by Prof. Bob Wilson and in collaboration with Prof. Arne Ekstrom. Read more in my review in Nature Reviews Psychology, our paper in Neuropsychologia, and our recent preprint on bioRxiv.

I also study motor skill learning in robotic teleoperation using control theory, advised by Prof. Bob Wilson and in collaboration with Prof. Mengyao Li and Prof. Yue Chen. Read more in our paper in npj Science of Learning and poster at SurgTwin @ IROS 2026.

My work has been recognized by the Link Fellowship Honorable Mention, the Society for Neuroscience Trainee Professional Development Award, and the University of Arizona Outstanding Research Award in Cognitive Science. My research has been supported by the Psychology Interlab Grant at Georgia Tech, University of Arizona Research and Project (ReaP) Grant, the SensorLab Seed Grant, and the OpenAI Researcher Access Program.