Anna Laurinavichyute

Anna Laurinavichyute

Statistical consultant at SFB 1287 grant “Limits of variability in language”

University of Potsdam

Biography

I am a cognitive scientist with a strong interest in computational cognitive modeling and the application of machine learning methods to cognitive science problems. In addition to holding a PhD in Cognitive Science, I have earned an MSc in Data Science. My most recent machine learning project involved pre-training and fine-tuning a transformer model to classify readers as dyslexic or typically developing based on their eye movements during reading. I am also interested in quantifying reading skills and investigating the factors that influence their development in second language learners and sign language users.

As a postdoc at Shravan Vasishth’s lab, I also work on such topics as reproducible statistical analyses and computational modeling of sentence processing, as well as teach data analysis at the Summer School on Statistical Methods for Linguistics and Psychology.

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Interests
  • Machine learning in reading research
  • Computational cognitive modeling
  • Research methodology
  • Open science
  • Reading skills in various populations
Education
  • PhD in Cognitive Science (magna cum laude), 2021

    University of Potsdam

  • MSc in Data Science, 2025

    University of Potsdam

  • Diploma in Linguistics, 2010

    Moscow State University

Recent Publications

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