Benjamin F. Maier

Benjamin joined the group during the Corona pandemic in early 2020 where he developed mathematical and numerical methodology for modelling disease spreading and containment. Among others, he developed an analytical formalism to estimate the reproductive number in the waning phase of epidemics (using generating functions), a statistical method to approximate the number of undetected cases in a modelled epidemic (using Bayesian inference), and developed methods for data acquisition and visualization. Currently, Benjamin works at the Robert Koch-Institute where he builds models to estimate the vaccine-prevented burden of COVID-19 in Germany.

Interests

Infectious diseases spread
Complex systems
Network theory

Education

2019 PhD in Theoretical Physics, Humboldt University of Berlin
2015 MSc in Physics, Humboldt University of Berlin
2012 BSc in Physics, Humboldt University of Berlin