Summary
Abdullahi Ibrahim is a Postdoctoral Research Associate and software engineer with eight years of experience applying data science, machine learning, and high-performance computing to research and production problems. He holds a PhD in Computer Science from the University of Tübingen and has worked across European research centers—most recently at TU Dresden and Helmholtz GFZ—bringing academic rigor to scalable data pipelines and ML model optimization. His research on routing optimization, combining optimal transport and biologically inspired networks, informs practical solutions for large-scale traffic and multilayer network dynamics. Equally comfortable in collaborative Agile teams and solo prototyping, he routinely uses Python, PyTorch, SQL, and cloud tooling to ship maintainable code and CI/CD-backed workflows. A former lecturer and teaching assistant, he pairs strong communication skills with hands-on mentoring and code-review practices that improve team quality. Based in Dresden, he is driven by curiosity and experiments regularly with new tools—balancing theoretical insight with pragmatic engineering to turn complex algorithms into usable systems.
7 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tübingen
Master's degree, Mathematical science, Master's degree, Mathematical science at African Institute for Mathematical Sciences,Senegal
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Ekiti State University
English, French, German