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