Lucas Rencker
R&D Data Scientist
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolLucas Rencker is an R&D data scientist and PhD-trained signal processing researcher with a decade of experience turning noisy, incomplete measurements into reliable audio and image reconstructions. Based in Amsterdam, he applies principled mathematical models and numerical optimization to inverse problems across domains—from AFM image super-resolution at Nearfield Instruments to 4D radar perception and sensor fusion for ADAS. His background blends academic rigor (CVSSP, Marie Skłodowska-Curie work, audio restoration at Adobe and CEDAR) with industry-facing deliverables like RAG backend tooling and research-to-business reports for AI startups. Known for tackling sparse recovery, declipping and denoising, he pairs deep theoretical expertise with practical engineering in production and research environments. An uncommon strength is his track record of moving novel algorithms from prototype to real sensor data, demonstrating both reproducible research and applied impact.
10 years of coding experience
2 years of employment as a software developer
Master's degree Signal and Image Processing, Master's degree Signal and Image Processing at Centrale MéditerranéeDoctor of Philosophy - PhD Signal Processing / Machine learning, Doctor of Philosophy - PhD Signal Processing / Machine learning at University of Surrey
Italian, German, French, English
Github Skills (35)
scipy9
algorithms9
python9
scientific-computing9
webcam-capture8
animated-gif8
memory-allocation7
memory-consumption7
performance-tuning6
image-data6
perf6
profiling6
cpu6
gravity6
profiler5
Programming languages (2)
Github contributions (5)
LucasRr/personal_webpage
Feb 2018 - Sep 2020
Contributions:12 pushes in 2 years 7 months
LucasRr/Dictionary_learning_for_declipping_Python
Apr 2018 - Oct 2018
Contributions:6 commits, 5 pushes, 1 branch in 5 months
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