OlleĀ Holmberg
AI Research Engineer at Helsing
Bavaria, Germany
Summary
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Seniorš
Top SchoolOlle Holmberg is an AI research engineer and Ph.D. candidate at Helmholtz Center Munich with eight years of experience applying advanced machine learning and Bayesian deep learning to medical imaging, particularly ophthalmic screening and diagnostics. Trained as an applied mathematician at the Technical University of Munich with a minor in computer science, he blends rigorous quantitative foundations with practical engineering from roles in industry BI and AI product development. At Helsing and in his doctoral work he focuses on safer, more precise deep learning models and advanced image segmentation for precision medicine. His background in statistics and exchange studies in the US adds breadth to his analytical approach, while early hands-on BI and business analyst roles give him a pragmatic, data-to-product perspective. Colleagues benefit from his ability to bridge mathematical theory, uncertainty quantification, and deployable ML solutions for healthcare settings.
8 years of coding experience
University of California San DiegoMaster in Applied Mathematics in Science and Engineering, Applied Mathematics, -, Master in Applied Mathematics in Science and Engineering, Applied Mathematics, - at Technical University MunichBachelor's degree, Statistics, B, Bachelor's degree, Statistics, B at Lund UniversityN/A, Philosophy and Economic history, B, N/A, Philosophy and Economic history, B at Stockholm University
English, Swedish, German
Github Skills (8)
spatial-transcriptomics10
single-cell-analysis9
spatial-analysis9
image-analysis9
single-cell-genomics9
spatial8
data-visualization7
python6
Programming languages (2)
Github contributions (5)
theislab/LODE
Oct 2019 - Jan 2022
repository for all LODE projects
Contributions:169 commits, 7 PRs, 208 pushes in 2 years 3 months
theislab/DeepRT
Jan 2020 - Jan 2020
Contributions:1 release, 2 commits, 3 PRs in 1 day
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