Summary
Joram Van Driel is a data scientist with 11 years of experience who transitioned from neuroscience research to applied safety analytics at the Dutch Human Environment and Transportation Inspectorate. Holding a PhD in Psychology and Neuroscience, he combines deep expertise in EEG/time-frequency and spectral analysis with practical skills in text mining, clustering, and interactive R-Shiny dashboards. He has a track record of translating complex analytical methods—graph and information theory, multivariate pattern analysis, dimensionality reduction—into domain-relevant solutions for aviation safety risk detection. Published in high-ranking journals with over 200 citations, he also has hands-on experience mentoring students and supervising researchers. Known for connecting complementary mathematical approaches to reveal different views of the same process, he is fluent in R, Python and MATLAB and adept at moving techniques from the lab into operational analytics.
11 years of coding experience
4 years of employment as a software developer
Master of Science (M.Sc.), Psychology, Master of Science (M.Sc.), Psychology at University of Amsterdam
English, Spanish