Mattias Nilsson

In my research I try to understand how eye movements and oculomotor control reflect the 
workings of the human brain in health and disease, and across the life span
from young to old age. I approach these questions from a computational perspective,

developing models that advance our theoretical understanding of the eye-mind relationship,  

and building practical applications to aid in the early detection of 
neurological disorders and diseases. Most of my research involves eye 
tracking and eye movement data but I have a broad interest in all kinds of measurements that can be 
related to sensory, perceptual and cognitive processes. In recent years I have focused on

children's reading development and how eye movements 
during reading reflect cognitively-based reading problems and dyslexia. I 
am also interested in eye movement changes that occur as a result of changes
in the nervous system and degeneration of neurons, for example in Alzheimer's
and Parkinson's disease. In my research I make extensive use of predictive
modeling methods and other machine learning techniques originating in
artificial intelligence (AI). These are powerful tools to identify early
risk markers of neurological conditions and atypical brain function, and more
generally to study the fascinating relationship between the eye and brain.