Background

Originally trained in mathematics and philosophy, I initially did PhD and postdoc within logic/good-old-fashion-AI, but then left academia to become a data scientist in industry. After 4 years in industry, I returned to academia as assistant professor at Roskilde University. In addition to projects applying data and machine learning to various applied problems, I am also doing research on ethical and societal aspect of data science and AI, as well as philosophy of science aspects of data science and AI. Finally, I am also interested in social network analysis and information dynamics on social media, such as polarization and echo chambers.

Motivation

I hope to support young aspiring data scientists especially in their choice between academia and industry, as I have tried both. Moreover, I hope to expand my network within data science in Denmark across academia and industry.

Skills, expertise, and interests

• • • data science
    • machine learning
    • artificial intelligence
    • deep learning
    • data analytics
    • statistical and data modelling
    • career planning or change
    • data visualisation
    • problem solving
    • statistics and mathematics
    • PhD advice
    • causality and explainability
    • social (data) science
    • teamwork
    • end-to-end implementation
    • network science
    • complex systems and chaos
    • complexity science
    • digitalisation