prof. dr. D.H. (Hedderik) van Rijn
Field/Discipline
Expertise
I study how our minds work by building computational models of memory that adapt to individual behavior. By capturing learners’ or patients’ performance data, we construct cognitive phenotypes that help us personalize learning environments and track cognitive health. I prefer projects that not only advance our theoretical understanding but also generate solutions to educational and clinical needs.
Projects
A wide range of project opportunities are available, aligned with the themes outlined above. Topics span from applied studies, such as examining whether feedback generated by large language models (LLMs) enhances learning outcomes or motivation, to fundamental research on, for example, the mechanisms of very-long-term memory. Other possible projects explore optimizing vocabulary assessments by focusing on high-utility items, or applying computational memory models to monitor memory decline in aging or clinically affected populations.
Students can choose to focus on experimental validation of computational phenotyping principles, mathematical/statistical modeling, or applications in novel (including clinical) populations. I’m happy to discuss potential directions that align with your interests.
Topic and Methods Keywords
Computational Modeling, Adaptive Learning, Generative AI in Education, Advanced Statistical Techniques, Applied Cognitive Neuroscience.
Projects
A wide range of project opportunities are available, aligned with the themes outlined above. Topics span from applied studies, such as examining whether feedback generated by large language models (LLMs) enhances learning outcomes or motivation, to fundamental research on, for example, the mechanisms of very-long-term memory. Other possible projects explore optimizing vocabulary assessments by focusing on high-utility items, or applying computational memory models to monitor memory decline in aging or clinically affected populations.
Students can choose to focus on experimental validation of computational phenotyping principles, mathematical/statistical modeling, or applications in novel (including clinical) populations. I’m happy to discuss potential directions that align with your interests.
Topic and Methods Keywords
Computational Modeling, Adaptive Learning, Generative AI in Education, Advanced Statistical Techniques, Applied Cognitive Neuroscience.
Other positions
- Founder/Director SlimStampen B.V.
- Founder/Director MemoryLab Health B.V.
- Editor-in-chief of Timing & Time Perception
- Member of various scientific committees of conferences, prizes, working groups, etc.
Last modified:24 October 2025 1.46 p.m.