David Niubó
Lecturer Professor Within The Applied Physics Dept. At Universitat De Barcelona
el Vendrell, Catalonia, Spain
Summary
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Senior🎓
Top SchoolDavid 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.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) in Physics and Photonics by UB, Synthesis of light vector fields with non-uniform three-dimensional polarization, Excellent with Cum Laude mention, Doctor of Philosophy (PhD) in Physics and Photonics by UB, Synthesis of light vector fields with non-uniform three-dimensional polarization, Excellent with Cum Laude mention at Universitat de Barcelona
English, Spanish, Catalan
Github Skills (28)
reproducible-science10
particle10
image-processing10
structural-biology10
microscopy10
computational-science9
electron9
python9
3d-models9
usability9
protocols9
photonics8
simulate7
machine-learning7
physics7
Programming languages (6)
Github contributions (5)
dmaluenda/hands_on_machine_learning
Nov 2021 - Feb 2023
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
physicspythondeep-learningteachingmachine-learning
dmaluenda/pyHolo
May 2022 - Nov 2022
Program to generate holograms for laser beam engineering.
Contributions:27 commits, 1 PR, 61 pushes in 6 months
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