Mattias Nilsson

Mattias Nilsson

Researcher
Visiting address: Eye Center of Excellence Avd Ögon & Syn, Eugeniavägen 12, 17164 Solna
Postal address: K8 Klinisk neurovetenskap, K8 Ögon och Syn Pansell, 171 77 Stockholm
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About me

  • 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.

Research

  • 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. 

Teaching

  • 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

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