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Dirk Pelt is an Assistant Professor at Vrije Universiteit Amsterdam, specializing in Biological Psychology. His work primarily combines methodologies and personalized medicine to understand well-being through various predictive models. He has been actively involved in research focusing on the intersection of machine learning and mental health, implementing genetic, environmental, and psychosocial factors in predictive modeling. Pelt has led several projects, including a significant initiative related to artificial intelligence and machine learning, funded between 2022 and 2023, aimed at using advanced algorithms for better mental health assessments. His collaborations span various research areas, with a notable emphasis on measurement theory and psychometric assessment. Pelt's contributions have led to numerous presentations at academic conferences, furthering the dialogue surrounding mental ability tests and the detection of inconsistencies and biases in personality inventories through sophisticated machine learning techniques.
Administered under the Department of Clinical Psychology for Master's in Clinical and Developmental Psychopathology.