Hello, I’m Monica!
I am a PhD candidate in the Language and Cognition Division at the Department of Psychological Sciences at the University of Connecticut, working with Dr. Jim Magnuson in the Computational Cognitive Neuroscience of Language Lab. I am also a trainee in the Language Plasticity IGERT program funded by NSF and an IBRAiN fellow at the Connecticut Institute for the Brain and Cognitive Sciences.
I am interested in the cognitive and neural mechanisms underlying spoken word recognition, particularly regarding how top-down (e.g., attention, context) and bottom-up (e.g., speech signal, noise) information interact to determine speech perception. I use MRI, EEG, and eyetracking techniques to tap into the feedback and feedforward mechanisms in speech.
Visit my personal website at monicaycli.github.io for more info.