Research description
My research is focused on understanding how eye movements reflect the workings of the human brain in health and disease and across the life span from young to old age. My approach to these questions is computationally oriented and an important aim is to develop computational models that advance our theoretical understanding of the eye-mind relationship, as well as to build real-world applications that contribute to early detection of neurological disorders and diseases. Most of my research involves eye tracking but I have a broad interest in all kinds of measurements that can be related to sensory, perceptual and cognitive processes. In recent years my research has focused on children's reading development and how eye movements during reading reflect cognitively-based reading difficulties or 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, vision, and the brain.
Teaching portfolio
2018 – Present: Course leader and teacher in Statistics and Scientific Methods, Optometry Program, KI
2016 – 2017: Teacher in Statistics and Scientific Methods, Optometry Program, KI
2012: Teacher in Machine Learning (Bachelor) and Natural Language Processeing (Master), Language Technology Program, Uppsala University
Academic honours, awards and prizes
2022 – Award from The Swedish Dyslexia Association and the Marianne Bernadotte scholarship fund for "Important contributions to reading research".
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).
2016 – EiNAR award (Excellence in Neuroscience Annual Reward). Awarded by the Department of Clinical Neuroscience, Karolinska Institutet.