Liesa Ravijts

My Ph.D. project focuses on the neural signatures of statistical learning. We are using neuroimaging data and modeling approaches to obtain a better understanding of how the brain picks up on regularities in our environment. We also investigate if and how we can use neural (e.g. EEG-related) measures to capture SL ability in individuals. Before starting this Ph.D., I obtained my master's in Theoretical and Experimental Psychology at Ghent University, during which I had the opportunity to do an internship at the University of Amsterdam. I subsequently did a second master's in Statistical Data Analysis (Computational Statistics) at Ghent University. I like to apply my interests in data, statistics, and programming in cognitive neuroscience research.

Outside of research, you can always make me happy with good music, coffee, art/photography, and the ocean.