Summary
Kees-jan Kan is an Assistant Professor and data scientist in Amsterdam with eight years of academic experience applying advanced statistical and formal mathematical modeling to psychology and genetics. He bridges rigorous research and practical programming, fluent in R, Matlab, Unix-based genetic tools (PLINK, GCTA) and structural equation modeling packages (lavaan, OpenMx, Mplus), and teaches SEM to undergraduates. His work has probed the genetics and rater effects in ADHD-related traits and contrasted competing theories of intelligence, combining behavior-genetic insights with confirmatory modeling. Trained in mechanical engineering and psychology (MSc cum laude), he brings a hands-on background—from CNC plastics work to complex statistical pipelines—which informs a pragmatic, reproducible approach to methodological problems.
8 years of coding experience
2 years of employment as a software developer
Msc., Psychology, cum laude, Msc., Psychology, cum laude at University of Amsterdam
Bsc., Mechanical Engineering, Bsc., Mechanical Engineering at Delft University of Technology
Dutch, English, German