Daniel Andreasen is a Senior Engineer with 11 years of experience specializing in algorithm development for image and signal processing, currently focused on biometric authentication at Egis Technology after a long tenure at Fingerprint Cards. He holds an MSc and a PhD in Medical Image Analysis from DTU, where his thesis on MRI-to-pseudo-CT conversion for radiotherapy earned top marks and drove clinically focused predictive-model research. Daniel excels at translating Python prototypes into optimized C implementations that meet strict latency and complexity constraints across diverse sensor and compute platforms. His work spans temporal noise mitigation, online compensation of fixed-pattern noise, image matching, and practical deep learning for image restoration, supported by strong data analysis and CI/CD practices. Comfortable in cross-functional teams, he combines academic rigor with product-driven engineering, and — less obvious — has bridged medical imaging research and commercial biometrics, bringing clinical evaluation mindset to industrial algorithm validation.
11 years of coding experience
8 years of employment as a software developer
MSc. Eng, Medicine and Technology, MSc. Eng, Medicine and Technology at University of Copenhagen
MSc. Eng, Medicine and Technology, MSc. Eng, Medicine and Technology at Technical University of Denmark
Logging tool for astronomical observations - with or without optical aids
Contributions:57 PRs, 81 pushes, 60 branches in 1 year 9 months
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Daniel Andreasen - Senior Engineer at Egis Technology 神盾股份有限公司