Niels Ipsen is a software developer and machine learning researcher with a decade of experience bridging deep learning, Bayesian modelling and practical engineering. He holds a PhD from DTU on deep generative modelling for missing data and translated that academic expertise into industry roles including a postdoc and a current position at 3Shape, focusing on applied AI in medical and product contexts. His background in biomedical engineering and earlier roles in statistical programming give him a strong signal-processing and clinical-data perspective that informs robust model design. Niels combines research-grade probabilistic modeling with hands-on software delivery, making him adept at turning models for uncertain or incomplete data into production-ready solutions.
11 years of coding experience
2 years of employment as a software developer
University of California San Diego
Bachelor of Science in Biomedical Engineering, Medicine and Technology, Bachelor of Science in Biomedical Engineering, Medicine and Technology at Danmarks Tekniske Universitet / DTU
Master of Science in Biomedical Engineering, Medicine and Technology, Signal Processing, Master of Science in Biomedical Engineering, Medicine and Technology, Signal Processing at Technical University of Denmark
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