Statistician interested in data visualization, interdisciplinarity, and open science.
Hanne is a PhD candidate in Methodology and Statistics who is working on computational evaluation and data visualization in the Missing Data research group. Before starting this PhD trajectory, Hanne graduated from the interdisciplinary Bachelor Liberal Arts and Sciences with a major ‘Artificial Intelligence’, and subsequently obtained a Master's degree in Methodology and Statistics for the Behavioural, Biomedical and Social Sciences.
Hanne is part of the Open Science Monitor team, and within the , Hanne represents the faculty of social and behavioural sciences. Read all about research data and software in this interview with them.