Ahmad Bin Qasim
Clinical AI Consultant at Helmholtz Munich
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolAhmad Bin Qasim is a Clinical AI Consultant and doctoral researcher in bioinformatics with 11 years of experience applying machine learning to biomedical problems. Trained at Technical University of Munich and currently completing a PhD at DKFZ, he has focused on label-efficient deep learning for biomedical images—combining active, self-supervised and semi-supervised methods during his MSc thesis and doctoral work. His background spans industry and research, from data-science roles in insurance and backend development to hands-on deep learning engineering at Helmholtz centers. Ahmad blends practical deployment experience with rigorous academic publication, as reflected on his GitHub and Google Scholar profiles. Based in Heidelberg, he brings a pragmatic, interdisciplinary approach to translating AI methods into clinically relevant tools. An underappreciated strength is his track record of moving projects from prototype (working-student roles) to research-grade solutions, bridging gaps between code, data, and clinical impact.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Informatics, Master of Science - MS, Informatics at Technical University of MunichBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at National University of Sciences and Technology (NUST)Intermediate Certificate, Pre-Engineering, Intermediate Certificate, Pre-Engineering at Punjab College of Science
English, Urdu, German
Github Skills (22)
semi-supervised-learning10
weakly-supervised-learning10
algorithms9
imaging9
deep-learning9
active-learning9
medical-imaging9
classification8
image-segmentation8
regression8
gpu6
semantic-segmentation6
docker6
python4
instance-segmentation3
Programming languages (2)
Github contributions (5)
ml-implementations/machine-learning
Sep 2019 - Jun 2025
Implementations of various ML algorithms
Contributions:2 PRs, 16 pushes in 5 years 10 months
implementationspythondata-sciencemachine-learningml-algorithms
marrlab/Med-AL-SSL
Jul 2020 - May 2021
Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets
Contributions:249 commits, 28 PRs, 230 pushes in 10 months
imagingsemi-supervised-learningactive-learningweakly-supervised-learningmedical-imaging
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