Maximilian Nielsen
Research Associate
Greater Hamburg Area Germany
Summary
👤
Senior🎓
Top SchoolMaximilian Nielsen is a research associate in the Greater Hamburg Area with eight years of experience applying computer vision and machine learning to medical imaging, particularly the processing and analysis of sequential data. At Universitätsklinikum Hamburg Eppendorf he progressed from student machine‑learning projects in classification and segmentation to a current research role tied to a PhD in Medical Informatics at TU Hamburg. His background bridges biomedical engineering and hands‑on engineering internships, giving him practical insight into both algorithmic development and real-world device and manufacturing constraints. Colleagues value his ability to translate clinical imaging problems into robust data‑driven solutions and to mentor students, drawing on earlier tutoring experience in engineering design. He brings a quietly interdisciplinary perspective—combining clinical context, sequential-data expertise, and engineering pragmatism—that helps move research toward deployable tools.
8 years of coding experience
Doktor (Ph.D.), Medical Informatics, Doktor (Ph.D.), Medical Informatics at Technische Universität HamburgMaster of Science - MS, Biomedical/Medical Engineering, Master of Science - MS, Biomedical/Medical Engineering at Technische Universität Hamburg-Harburg
German, English
Github Skills (8)
deep-learning4
transformers1
pytorch1
transformer1
nlp1
pytorch-lightning1
self-attention1
wandb1
Programming languages (1)
Github contributions (5)
IPMI-ICNS-UKE/sparsam
Apr 2023 - Nov 2024
Deep Learning on SPARSely Annotated Medical-data
Contributions:42 pushes, 7 comments, 2 issues in 1 year 6 months
deep-learningsota
IPMI-ICNS-UKE/DeepTICI
Mar 2021 - Jun 2021
Contributions:9 commits in 3 months
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