Summary
Andrew Ellis is a Senior Data Scientist in Bern with 17 years of research and industry experience and over a decade focused on probabilistic models of human cognition and decision-making. He builds and applies Bayesian multilevel models to behavioral data, programs complex behavioral experiments, and develops simulation tools that link mental simulation and imagination to real-world decision processes. At the University of Bern he combined research on mental simulation with teaching statistics and R programming, and now applies that expertise at Berner Fachhochschule BFH. His background includes scientific writing on R for finance and QA for loss-modeling software, reflecting a rare mix of rigorous statistical modelling, production-minded coding, and domain breadth. Colleagues value his deep command of Bayesian methods and his knack for turning cognitive theories into reproducible, open analysis pipelines.
17 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Psychology, Doctor of Philosophy - PhD, Cognitive Psychology at University of Bern
MSc, Psychology, MSc, Psychology at Universität Zürich
German, French, Italian, English