About
- PhD candidate and junior researcher at:
- LMU Munich (PhD candidate at the SODA Lab, Department of Statistics)
- Munich Center of Machine Learning (Junior Resarcher)
- Bavarian Research Institute for Digital Transformation (Junior Fellow)
- Interdisciplinary background:
- Psychology
- Computer Science
- Statistics and Data Science
- Research
- Broad: Application of Machine Learning algorithms in social sciences and the public sector.
- Focus: Neurosymbolic architectures as an interface to incorporate arbitrary ethical constraints, formalized in logic or as causal graphs, into the machine learning process.
- Public Sector:
- Member of the ADA initiative at the SODA Lab, which aims to support the public administration with data scientific expertise
- Co-founder of ondatix Datenwerkstatt GmbH, an ADA spin-off with focus on Open-Source Data Science software for the public sector.
Keywords: Neurosymbolic AI, Algorithmic Fairness, Trustworthy ML, Public Sector