Summary
Raphaela Heil is a research-focused software engineer and postdoctoral researcher in Uppsala with 10 years of experience applying computer vision and machine learning to document analysis and historical handwritten text recognition. She earned a PhD in Computerised Image Processing from Uppsala University after an MS in Complex Software Systems, and has blended academic research with hands-on engineering across archives and universities. Her recent roles include driving text recognition projects for regional archives and a postdoc at Stockholm University, translating deep learning research into practical transcription tools for historical manuscripts. Earlier work spans C++ computer vision for mobile augmented reality, Java/Spring e‑learning systems, and a technical studentship at CERN, reflecting strong multidisciplinary foundations. Colleagues describe her as someone who bridges rigorous research methodology with pragmatic software delivery, often uncovering domain-specific preprocessing tricks that boost recognition on challenging historical scripts. Based in Sweden, she combines scholarly depth with a track record of production-ready solutions for heritage digitization.
10 years of coding experience
2 years of employment as a software developer
Informatik, Informatik at Universitetet i Oslo (UiO)
Master of Science - MS, Komplexe Softwaresysteme M.Sc., Master of Science - MS, Komplexe Softwaresysteme M.Sc. at Hochschule Bremen
Doktor (Ph.D.), Computerised Image Processing, Doktor (Ph.D.), Computerised Image Processing at Uppsala University
English, German