Marc Wiedermann

Marc Wiedermann

PostDoc / Data Scientist

Robert Koch Institute
Nordufer 20, 13353 Berlin

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.

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


Postdoctoral Researcher
Potsdam Institute for Climate Impact Research
Aug 2017 – Jan 2021 Potsdam
  • Data-driven modelling of human behaviour and opinion spreading on social networks
  • Spatio-temporal extreme event statistics

Technologies: python (numpy, scipy, pandas, networkx), C++, MPI

Data Scientist
Universal Music GmbH
Nov 2014 – Oct 2017 Berlin
  • Prediction of emerging music trends and customer preferences based on artist similarties and streaming/sales histories
  • Monitoring and comparison of google searches for key music artists

Technologies: python, javascript (d3.js), HTML, CSS, SQL, AWS EC2, Hive, Qubole

Doctoral Researcher
Potsdam Institute for Climate Impact Research
Jun 2014 – May 2017 Potsdam
  • Development of nonlinear classifiers for different events in environmental data
  • Classification of network-like complex systems based on spatial, topological or information-theoeric indicators

Technologies: python (numpy, scipy, pandas), C++, MPI

Research Internship
The Chinese University of Hong Kong
Jan 2012 – Apr 2012 Hong Kong
  • Compilation, harmonization and quantification of a data set to uncover differences in infrastructure networks across Europe and North America from spatial features

Technologies: OpenStreetMap, python