Ramona Leenings
Assistenzprofessor at Johannes Kepler Universität Linz
Linz, Upper Austria
Summary
👤
Senior🎓
Top SchoolRamona Leenings is a software engineer and postdoctoral researcher with nine years of experience applying principled computing to biomedical data problems. Based in Berlin, she combines a dual PhD background in Computer Science and Medical Sciences with a Master’s in Cognitive Science to bridge method development and clinical application at the Medical Machine Learning Lab. As a long-time self-employed developer, she builds bespoke software solutions while driving research that turns complex biomedical datasets into actionable insights. Known for a pragmatic, programmer’s mindset—“laziness, impatience, and hubris”—she favors elegant automation and reproducible pipelines that accelerate discovery.
9 years of coding experience
Doktor (Ph.D.), Computer Science, Doktor (Ph.D.), Computer Science at University of MünsterBachelor of Science Wirtschaftsinformatik, Wirtschaftsinformatik, Bachelor of Science Wirtschaftsinformatik, Wirtschaftsinformatik at FH MünsterMaster of Science - MS, Cognitive Science, Master of Science - MS, Cognitive Science at Universität OsnabrückFachinformatikerin für Anwendungsentwicklung, Fachinformatikerin für Anwendungsentwicklung at active Develop - Klaus Löffelmann
English, German
Github Skills (21)
python10
machine-learning10
inspect8
inspector8
docker-image8
machine-learning-models8
imaging7
hyperparameter-optimization7
neural-network6
boosting6
multimodal5
r4
evaluation4
optimization4
gaussian-processes3
Programming languages (5)
Github contributions (5)
wwu-mmll/photonai
Mar 2017 - Nov 2022
PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
Contributions:1 release, 15 reviews, 626 commits in 5 years 9 months
machine-learningpython
RLeenings/contrastive
Dec 2020 - Nov 2023
Contrastive PCA
Contributions:59 pushes, 5 branches in 2 years 11 months
pcablockchaincontrastive
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