She can be described as a Zeeuw with an international edge. With a background in the 'humanities', a bachelor in Liberal Arts & Sciences, a master in History and Philosophy of Art in Canterbury, England and a master in Data Science and Society, she likes to position herself at the interfaces between society and applied data science.
On the one hand, she pays attention to how these developments are changing our interaction with - or in - society; on the other hand, she has an eye for the importance of transparent information and the story that data can re(present), both ethically and statistically.
As a lecturer, she is involved in internships, thesis projects and teaching the basic concepts of data science. As junior researcher at the Data Science research group, she deals with various abstract (as well as visual) machine learning challenges, consistent with her specialization within the fields of time series, geospatial and image analysis.