Marc joined the group during the Corona pandemic in Mid 2020 as a PostDoc and Data Scientist. He is a theoretical physicist by training and has widespread interest and experience in the development of novel methods for time series analysis, data visualization and the reduction of large-scale system properties to core principles. He is involved in predictive modeling tasks for the Corona Datenspende as well as exploratory analyses of anomalous patterns in the COVID-19 Mobility Project.
PhD in Theoretical Physics, 2018
Humboldt University of Berlin
MSc in Physics, 2014
Humboldt University of Berlin
Year Abroad, 2012
The Chinese University of Hong Kong
BSc in Physics, 2011
Humboldt University of Berlin