I am a research associate specialized in method development at the Chair of Computational Statistics at TU Dortmund headed by Paul-Christian Bürkner.
My current project focuses on developing and implementing a method to translate expert knowledge into corresponding prior distributions for parameters in Bayesian models (see Publications & Talks and project website). In pursuit of this objective, I am exploring the integration of methods from both statistics and machine learning.
In the realm of method development, I am particularly fascinated by the intersection of users, methodology, and implementation. Developing effective methods demands a broad understanding across various disciplines, from identifying user needs to statistical-mathematical modeling and computational implementation. I appreciate how this work allows me to draw upon my interdisciplinary experience and continually develop myself.
Besides pure method development, knowledge transfer and supporting users in their analysis are important to me. From personal experience, I understand that a lot of uncertainty can arise in communication between disciplines, often due to differences in language, mindset, and methodology. I have come to know and appreciate both the user and method perspectives and wish for more knowledge exchange, curiosity, and collaboration across disciplines.
Outside of work, you’ll mostly find me running, cycling, or hiking in nature.