I am a research scientist specializing in method development and research software engineering. I divide my time between two roles: at Climate Resource I work on method development, climate science research, and research software engineering. Besides, I work at the Chair of Computational Statistics at TU Dortmund, led by Paul-Christian Bürkner, where I am focusing on the development of computational methods.
My current academic project involves developing and implementing a framework to translate expert knowledge into prior distributions for parameters in Bayesian models (see Publications & Talks and project website). This work combines concepts from statistics and machine learning. At Climate Resource, I focus on developing methods to integrate satellite-derived data into the production of greenhouse gas forcing inputs for Earth System Models. This work sits at the intersection of environmental science, method development, and research software engineering.
I am particularly interested in the intersection of users, methodology, and implementation. Developing effective methods requires a broad understanding across multiple disciplines, encompassing everything from identifying user needs to statistical-mathematical modeling and computational implementation. I appreciate the interdisciplinary nature of my work, as it continually challenges my current state of understanding, broadens my perspective, and allows me to keep learning.
Beyond method development, I am particularly interested in knowledge transfer. Having experienced firsthand the challenges of interdisciplinary collaboration, often due to differences in language, acquired mindset, and methodology, I value the importance of fostering curiosity, collaboration, and mutual understanding across fields.
Outside of work, I enjoy running, cycling, and hiking in nature.