I’m Ben, a post-doctoral researcher mainly studying how human behavior influences the spread of infectious diseases, but with widespread interest and experience regarding complex systems, network theory, data science, educational outreach, and algorithmic arts. Having a background in physics, I’m trained in analyzing and visualizing big data sets as well as searching for the fundamental mechanisms that shape a system’s behavior. My current position is with Dirk Brockmann, professor for theoretical biology at Humboldt University of Berlin and the Robert Koch Institute.
You’re cordially invited to investigate my full CV if you’re interested in further information.
Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China
Thresholding normally distributed data creates complex networks
Commentary: A network science summer course for high school students
Netwulf: Interactive visualization of networks in Python
Generalization of the small-world effect on a model approaching the Erdős-Rényi random graph
Modular hierarchical and power-law small-world networks bear structural optima for minimal first passage times and cover time
Selected Open-Source Software
github.com/benmaier/netwulf, Interactive visualizations of networks
github.com/benmaier/tacoma, C++ and Python package for the analysis and simulation of temporal networks in continuous time
github.com/benmaier/cMHRN, fast creation of modular-hierarchical, power-law, and regular small-world networks
github.com/benmaier/qsuite, a command-line interface for efficient management and analysis of simulations on compute clusters
github.com/benmaier/binpacking, optimal distribution of weights to containers