I’m a Professor of Networks and Complexity Science at DTU Compute, Technical University of Denmark. I’m also a Professor of Social Data Science at the Center for Social Data Science (SODAS), University of Copenhagen.
My work focuses on quantitative understanding of social systems based on massive data sets. A physicist by training, my research draws on approaches from the physics of complex systems, machine learning, and statistical analysis. I work on large-scale behavioral data and while my primary focus is on modeling complex networks, my research has made substantial contributions on topics such as human mobility, sleep, academic performance, complex contagion, epidemic spreading, and behavior on twitter.
I am the author of multiple high impact papers, e.g. in the last couple of years: Nature 587, 402 (2021), Nature Physics (2021), Nature Physics 17, 5 (2020), Science Advances 6, eabc0764 (2020), Nature Communications 10, 1759 (2019), PNAS 115, 12603 (2018), Nature Human Behaviour 2, 485 (2018). Since the start of the COVID-19 pandemic, I have served as a member of the task force established by the Danish government to model the spread in Denmark, and also supporting the Danish Contact Tracing App.
In the past, I’ve worked as a Postdoctoral Fellow at Institute for Quantitative Social Science at Harvard University and the College of Computer and Information Science at Northeasthern University; before that, I was at Laszlo Barabási’s Center for Complex Network Research at Northeastern University and the Center for Cancer Systems Biology at the Dana Farber Cancer Institute. I’m a graduate of the Niels Bohr Institute (B.Sc, Physics 2001 [pdf], M.Sc, Physics, 2003 [pdf]) and the Technical University of Denmark (Ph.D., Complex Networks, 2007 [pdf]).
© Traveling Wilburys, 1988