معرفی
Julian Karch is an Assistant Professor at the unit Methodology & Statistics of the Institute of Psychology at Leiden University. His work focuses on the intersection of statistical methods and psychological research, with particular expertise in adapting machine learning approaches to psychological data challenges.
His educational background includes:
- Diploma in Computer Science with a focus on statistical learning and data science (2012) from the Free University of Berlin
- PhD in Quantitative Psychology from the Max Planck Institute for Human Development in Berlin (defended 2016, summa cum laude)
Dr. Karch's research interests center on the adaptation and application of statistical learning methods to psychological data analysis challenges. His work spans machine learning, longitudinal data analysis, structural equation modeling, and open science practices. He has particular expertise in Gaussian process modeling for repeated measures and person-specific EEG modeling, bridging computational methods with psychological research questions. His research contributes to more robust statistical approaches in psychological science, addressing issues like outlier detection and data quality in experimental settings.
His recent publication "Outliers may not be automatically removed" (2024) in the Journal of Experimental Psychology: General reflects his focus on methodological rigor in psychological research. This work examines the important question of when and how outliers should be handled in psychological data analysis, challenging automatic removal procedures and advocating for more thoughtful, theory-driven approaches.
His notable scientific achievement includes:
- Best Research Proposal Award, MPS/UCL Symposium on Computational Psychiatry and Aging (2016)
Dr. Karch teaches statistical courses for psychological master's programs and the statistical science master at Leiden University. His teaching emphasizes practical applications of statistical methods in psychology research. While specific grant information isn't detailed in the provided text, his research trajectory suggests involvement in methodological research projects at the intersection of psychology and data science.
His professional activities connect him with the Leiden Institute for Statistical Science, indicating collaboration across statistical disciplines within the university.
