Summary
Christian 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 University
Data and communications studies, Network, Data and communications studies, Network at Technical Education Copenhagen, Ballerup
GSK, GSK at Niels Brock
Danish, English, French, Finnish