Profile
Abstract
My research interest lies in the application of statistical and machine learning methods for improving the understanding and attribution of air temperature trends and extremes. Ultimately, my research aims to provide attribution statements that support further research on the influence of air temperature extremes on private household economics within the Eco-N graduate school.
Professional career
- since 04/2025
Doctoral Student in Meteorology
Education
- 10/2017 - 12/2024
Bachelor and Master's in Physics at Leipzig University - 10/2022 - 03/2025
Master’s in Earth System Data Science and Remote Sensing
- ECO-N: Economics of Connected Natural Commons - Atmosphere and BiodiversityQuaas, Martin FriedrichDuration: 08/2024 – 08/2029Funded by: DFG Deutsche ForschungsgemeinschaftInvolved organisational units of Leipzig University: Nachhaltige Immobilien- und Stadtentwicklung; VWL/Makroökonomik; VWL/Ökonometrie; Energiemanagement und Nachhaltigkeit; Bioenergiesysteme; BWL, insb. Sustainable Banking; Spezielle Botanik und funktionelle Biodiversität; Theoretische Meteorologie; Modellierung atmosphärischer Prozesse (Gemeinsame Berufung mit IfT); Experimentelle Interaktionsökologie; Biodiversitätsökonomik; Klima-Attribution (JP)