Marc Wiedermann

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.

Interests

Complex Systems & Network Analysis
Machine Learning & Predictive Modeling
Modeling spreads of human behavior and opinions

Education

2018 PhD in Theoretical Physics, Humboldt University of Berlin
2014 MSc in Physics, Humboldt University of Berlin
2012 Year Abroad, The Chinese University of Hong Kong
2011 BSc in Physics, Humboldt University of Berlin