Fabian Köhlinger is a Machine Learning Engineer and former physicist with a PhD in Astrophysics, bringing 11 years of experience applying statistical and ML methods to real-world problems. Based in Münster, Germany, he bridges scientific rigor with practical engineering, focusing on data science workflows and Kubernetes platform building to operationalize models at scale. His background gives him a strong foundation in quantitative modeling and uncertainty estimation, while his platform work reflects a knack for making complex infrastructure reliable and repeatable. Colleagues value him for translating academic insights into production-ready systems and for navigating the trade-offs between research flexibility and production stability.
Plotting and convenience scripts for post-processing various Monte Python MCMC runs (MH, CH, NS, PC).
Contributions:1 PR, 2 pushes, 1 branch in 1 year 6 months
post-processingpythonconveniencerunsplotting
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