David Maluenda Niubó
Barcelona, Catalonia, Spain
Summary
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SeniorDavid Niubó is a Lecturer Professor in Applied Physics at the Universitat de Barcelona with a PhD (Cum Laude) in photonics and eight years of research and teaching experience focused on highly focused light beams with 3D polarization and machine learning–driven image processing. His work spans fundamental optics—vectorial beam synthesis, plasmonics and coherence—and applied cryo-EM image processing from a postdoc at CNB-CSIC, bridging photonics and computational biology. An award-winning researcher (OSA Best Student Paper) who collaborated with industry on solar light collection, he combines hands-on experimental optics with development of computational methods. He teaches optics and image processing while continuing active research on novel polarization-tailored beams and ML for microscopy reconstruction. Based in Catalonia, he brings a rare mix of experimental precision and software-driven data analysis to interdisciplinary imaging problems. Notably, his background in participatory non-profit education informs a practical, outreach-minded approach to teaching and science communication.
9 years of coding experience
Github Skills (29)
reproducible-science10
image-processing10
structural-biology10
3d-models10
electron9
python9
3d9
usability9
protocols9
machine-learning7
deep-learning7
jupyter-notebook7
microscopy6
polarization6
simulate6
Programming languages (8)
Github contributions (5)
dmaluenda/hands_on_machine_learning
Nov 2021 - Feb 2023
A set of Jupyter notebooks to teach and learn deep learning for physics and photonics.
Contributions:1 release, 124 commits, 8 PRs in 1 year 3 months
deep-learningjupyter-notebookdeep-neural-networksmachine-learningteaching
dmaluenda/DigiHolos2LaserBeamModelation
Jul 2018 - Jan 2026
Contributions:5 pushes, 1 branch in 7 years 7 months
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