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 a few 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
• data analytics
• data visualisation
• data mining
• big data
• machine learning
• deep learning
• artificial intelligence
• natural language processing (NLP)
• causality and explainability
• computational science
• network science
• social (data) science
• career planning or change
• work-life balance
• PhD advice
• teamwork

Programming languages and software

• Python
• R
• Excel