Sune Lehmann

Sune Lehmann is a Professor of Networks and Complexity Science at DTU Compute, Technical University of Denmark, and a Professor of Social Data Science at the Center for Social Data Science (SODAS), University of Copenhagen. His research focuses on quantitative analysis of social systems using large-scale datasets, integrating approaches from complex systems physics, machine learning, and statistical analysis. Key areas include modeling complex networks, human mobility, sleep patterns, epidemic spreading, and social media behavior.

Education: B.Sc. and M.Sc. in Physics from the Niels Bohr Institute (2001-2003), Ph.D. in Complex Networks from DTU (2007). Professional roles include membership in the Danish Royal Academy of Sciences and Letters, and advisory roles in Danish government task forces during the COVID-19 pandemic.

Research Interests: Complex networks, social data science, human behavior analysis, epidemiological modeling, and the application of machine learning to social systems. Notable contributions include studies on SARS-CoV-2 genomic data, temporal networks, and behavioral dynamics during pandemics.

Scientific Contributions: Over 100 publications, including work on graph representation learning, surrogate network generation, and interdisciplinary collaborations. Supervised multiple PhD students in areas like social network properties, air pollution impacts, and mobility patterns.

Awards: Member of the Danish Royal Academy of Sciences and Letters (202X).

Labs/Teams: Active in DTU Compute and SODAS, leading projects on network science, social behavior, and policy-relevant research on tech giants and AI governance.