Research description

I am trying to understand how eye movements reflect the workings of the human brain and how we can apply this knowledge to build real-world applications that contribute to early detection of neurological diseases and disorders. I am primarily working with eye tracking data but I have a broad interest in all kinds of measurements of the eye that can be related to sensory, perceptual and cognitive functions. In recent years my research has focused on children's reading development and how eye movements during reading can reflect cognitively-based reading difficulties, what is often called dyslexia. But 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 daily work I make extensive use of programming, statistical methods and predictive modeling techniques such as artificial neural networks and other types of machine learning methods. These are powerful tools to investigate how eye movement measurements reflect brain function and may help us to discover new functional markers for neurological diseases and conditions.  

Academic honours, awards and prizes

2016 – EiNAR award for Excellence in Neuroscience Research. Awarded by the Department of Clinical Neuroscience, Karolinska Institutet.

2019 – IVA-award for “Research with prominent potential for trade and industry in the field of digitization”. Awarded by the Royal Swedish Academy of Engineering Sciences (Kungl. Ingenjörsvetenskapsakademien - IVA)