Dr. Maaike Vandermosten

Associate Professor

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Biography

Maaike Vandermosten is an Associate Professor at KU Leuven, where she leads the Speech & Language Research group within the Department of Neurosciences. Her primary fields of research include developmental neuroimaging, dyslexia, neuroplasticity, and neuroimaging research on language. Vandermosten has contributed significantly to the understanding of phonological speech processing and developmental language disorders such as dyslexia and aphasia. She actively participates in various interdisciplinary projects, exploring sensitive periods in oral and written language development and the neural correlates of language recovery post-stroke. Her recent projects involve identifying cognitive-linguistic precursors to reading problems, developing auditory and visual processing tools for at-risk populations, and assessing EEG-based neural diagnostics for aphasia. Additionally, she has published numerous papers and presented at several national and international conferences, focusing on advancements in language assessment and the impact of formal schooling on brain behavior.

Research Interests

Experience

Associate Professor

2018-09-01 — Present

KU Leuven • Leuven, Belgium

Leading the Speech & Language Research group, focusing on language-related research and interdisciplinary projects.

Requirements for KU Leuven

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:94
GRE General
Verbal
Required:154
Quantitative
Required:166
Overall
Required:154
Prerequisites
Academic Bachelor's programme in Engineering Science with strong components in computer science and mathematics Bachelor's degree in Informatics or Computer Science with a strong component of mathematics
Application Checklist
  • Official transcripts
  • Summary of Key Application Data
  • Selftest
  • Statement of motivation
  • GRE Score Report (unless EEA/UK/CH degree)
  • CV
Specialization Notes

Master of Engineering: Computer Science. Admission is at the discretion of the Faculty of Engineering Science.