Personenprofil

Berufliche Laufbahn

• seit 11/2019
  Wissenschaftlicher Mitarbeiter: Uni Leipzig, RSC4Earth

Ausbildung

• 03/2008 - 12/2012
  BSc/Ing: Ökologie Tropischer Regenwälder, UNAP Iquitos.
• 09/2013 - 06/2015
  MSc: Ecology, Evolution, and Systematics, Uni Jena
• 09/2015 - 01/2021
  PhD: Low-Dimensional Representations of Earth System. Uni Valencia/Max-Planck-Institut für Biogeochemie, Jena
• seit 09/2021
  Zertifikat Lehre HDS

I develop indicators that summarize systems in few dimensions using dimensionality reduction. These indicators describe the overall behaviour of the system and the behaviour of the the objects contained in it in few dimensions that can be analysed more easily.

These indicators are very good at extracting general patterns from complex databases and that it can be applied to databases of very varying characteristics. We also find that indicators arevery good at extracting different kinds of changes occurring in the system,such as extreme events, permanent changes or trends. Therefore it is avery useful tool for general monitoring and exploratory data analysis. The approach is very flexible and can be applied to complex datasets, such aslarge data, nonlinear data, as well as data with many missing values.

Kurse:

• Multivariate Statistik
• Einführung in R
• Analyse von Geodaten
• Research Data Management

• Einführing in R

  12-GGR-B-02: Grundlagen der Datenanalyse mit der Programmierspache R.

• Multivariate Statistik

  12-GGR-M-AG12: Statistische Analyse multivariater Geodaten, im Hinblick auf ihre Anwendung in der Wirtschafts- und Sozialgeographie.

• Geodatenanalyse in der Wirtschafts- und Sozialgeographie

  12-GGR-M-GFA1:

  • Die Programmiersprache R als Geoinformationssystem
  • Interpretation und Analyse geographischer Fragestellungen
  • Visualisierung wissenschaftlicher Daten