About

I am a cognitive neuroscientist interested in understanding how predictions in the brain shape our perception and memory.  To study this, I use experimental paradigms (human behavior, fMRI, EEG, and ECoG) along with deep learning computational models.

I am currently working at the Princeton Neuroscience Institute in the computational memory laboratory with Ken Norman, and in collaboration with Uri Hasson. I completed my Ph.D. at the University of Illinois at Urbana-Champaign with Diane Beck and Kara Federmeier, and in collaboration with Fei-Fei Li. My research focused  on the influence of semantics on the visual processing of natural scenes.

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Just Released! Bayesian Surprise Predicts Human Event Segmentation in Story Listening