'I work on the intersection of machine learning and cognitive science. I am interested to understand the underlying mechanisms of learning in humans and machines. The main focus of my PhD research is on neural network models for language processing. In our group, we try to find different ways to better understand the learning process of neural networks. For instance, one of the interesting things we do is using brain data as a biological reference to inspect and evaluate the representations learned by neural networks when they are trained to model human language. Our ultimate goal is to not only build machines that can learn and generalise in a similar way that humans do, but also gain more insights about how the human brain works.'