Christian Lillelund
Postdoctoral Researcher at Aarhus University
Aarhus, Central Denmark Region, Denmark
Summary
👤
Senior🎓
Top SchoolChristian Lillelund is a postdoctoral researcher at Aarhus University's MOMA with 11 years of engineering and research experience bridging machine learning, software development, and precision medicine. His PhD focused on survival analysis and time-to-event prediction, and his current work applies sequenced DNA data to cancer detection, combining statistical rigor with practical biomolecular insights. He has experience across academia and industry—from visiting research at the University of Alberta under Russ Greiner to developer roles building ML-driven rehab solutions—bringing both production-grade .NET engineering and cutting-edge AI research to projects. Known for pairing uncertainty estimation with clinically relevant models, he also has a history of teaching and supervising students in distributed systems and AI, reflecting a strong commitment to translational research and mentorship.
11 years of coding experience
8 years of employment as a software developer
Master's degree, MSc Computer Engineering, Master's degree, MSc Computer Engineering at Aarhus UniversityData and communications studies, Network, Data and communications studies, Network at Technical Education Copenhagen, BallerupGSK, GSK at Niels Brock
Danish, English, French, Finnish
Github Skills (33)
sgd10
clipping10
mixture-model9
shap9
shapley9
gradient-boosting9
machine-learning9
deep-learning9
noise9
gaussian9
datagrid8
computer-vision8
charts8
survival-analysis8
multi-task-learning8
Programming languages (4)
Github contributions (5)
thecml/kubernetes-exercises
Aug 2020 - Feb 2021
Contributions:15 commits, 13 pushes, 1 branch in 5 months
thecml/dpsgd-optimizer
Oct 2020 - May 2021
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
Contributions:2 releases, 70 commits, 5 PRs in 7 months
clippinggradientsprivacydeep-learningdifferential-privacy
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