Sabrina Richter is a Senior Data Scientist based in Munich with seven years of experience applying mathematical rigor to machine learning and deep learning problems in biomedical domains. Trained in Mathematics and Mathematics in Data Science at LMU and TUM, she built her master's thesis around graph-based ML for spatial single-cell data and later extended that expertise into proteomics and mass spectrometry modeling during a PhD at Helmholtz Zentrum München. She combines hands-on development of deep learning pipelines and model interpretation (saliency and filter analysis) with benchmarking across architectures to deliver reproducible, biologically meaningful results. Currently driving advanced DL solutions at therawis diagnostics, she bridges academic research and product-facing implementations, often focusing on interpretability and continuous learning aspects that are easy to overlook.
7 years of coding experience
Master's degree, Mathematics in Data Science, Master's degree, Mathematics in Data Science at Technical University of Munich
Bachelor's degree, Mathematics with minor in Informatics, Bachelor's degree, Mathematics with minor in Informatics at Ludwig-Maximilians-Universität München
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.