Background

During my bachelor’s studies in Business Psychology, I primarily focused on the user perspective, applying methods from market research and consumer psychology to address specific content-related questions. I deepened this perspective through internships and research assistant positions at market research institutes such as Ipsos GmbH and Produkt+Markt GmbH.

At the same time, I realized that I lacked knowledge in programming and modeling. Skills which are essential for developing flexible models that could effectively address both substantive research questions and the specific characteristics of data. This realization motivated me to pursue a master’s degree in Cognitive Science, with a focus on artificial intelligence and cognitive psychology. During this program, I gained experience in formal modeling, Bayesian methods and their implementation in R and Python, whereby I was particularly impressed by the flexibility and expressiveness of the Bayesian framework.

Driven by a desire to deepen my expertise in formal modeling, Bayesian statistics, method development, and the computational implementation of statistical methods, I remained in academia. I worked first as a research scientist in Psychological Methods at Philipps-University Marburg, and later in Computational Statistics at TU Dortmund University.

After several years in academia, my interests evolved toward applying my skills in areas with direct societal impact. This led me to my current role as a research scientist at Climate Resource, where I work at the intersection of climate science research, methodological development, and research software engineering. In my current projects I focus among others on the development of new methodologies that integrate satellite-derived information in the production of greenhouse gas forcing for Earth System Models.

Information about my current contributions can be found on Publications & Talks page as well as on my project website.

Download my CV.

Education

📑 Research Scientist, currently Climate Resource S GmbH, Berlin

📑 Research Scientist, currently Statistics Department; Computational Statistics
TU Dortmund university

📑 Research Scientist, until 2022 Psychology Department; Methods & Statistics
Philipps university of Marburg

🎓 M.Sc. in Cognitive Science, 2020
Majors: Cognitive modeling & Artificial intelligence
University of Osnabrück

🎓 B.Sc. in Business Psychology, 2018
Majors: Market research & Consumer behavior
University of applied Science Harz, Wernigerode

🎓 Marketing Communications Specialist, 2014
Vocational training recognized by the IHK (chamber of industry & commerce)

Interests

  • method development
  • research software engineering
  • computational modeling
  • open science / open source software
  • climate science
  • Bayesian statistics
  • philosophy of science
  • data science
  • machine learning