Nico Lösch
Senior Project Officer at UNSW
Australia
Summary
🤩
Rockstar🎓
Top SchoolNico Lösch is a medical engineer and PhD candidate in computer science at the University of Technology Sydney with five years of experience building medical imaging, computer vision and robotics solutions for both research and regulated industry. He has shipped validated software for robotic surgery, developed neural-network and graph-based approaches for tumour segmentation, and built GUIs and preprocessing pipelines to accelerate annotation and model training. More recently he has combined NLP and LLM fine-tuning to extract clinical signals from social media and electronic health records, implementing ETL pipelines and prompt engineering at UNSW. Comfortable across C++, Python and CI/CD-driven development, he bridges academic rigour with practical product validation in medical contexts. Fluent in multiple languages, he leverages strong communication skills to lead cross-disciplinary teams and translate complex research into usable clinical tools. An early contributor to segmentation utilities on GitHub, he favors pragmatic automation that speeds model development and deployment.
5 years of coding experience
3 years of employment as a software developer
Master of Science Biomedical Engineering, Master of Science Biomedical Engineering at The Faculty of Engineering at Lund UniversityMaster of Science - MS Biomedizintechnik/Medizintechnik, Master of Science - MS Biomedizintechnik/Medizintechnik at University of StuttgartDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Technology Sydney
English, German, Spanish, French
Github Skills (50)
pytorch10
python10
medical-image-processing10
machine-learning10
imaging10
deep-learning10
medical-image-analysis10
medical-image-computing10
ai10
data-augmentation10
data-science9
artificial-intelligence9
pretrain8
gpu7
keras6
Programming languages (3)
Github contributions (5)
nicoloesch/segmentation_utils
Jun 2021 - Sep 2021
Contributions:63 commits, 2 PRs, 51 pushes in 2 months
AustralianCancerDataNetwork/omop-graph
Feb 2026 - Jul 2026
Contributions:1 review, 2 PRs, 43 pushes in 5 months
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