Gabriel Della Maggiora
Researcher at Helmholtz-Zentrum Dresden-Rossendorf (HZDR)
Germany
Summary
👤
Senior🎓
Top SchoolGabriel Della Maggiora is a machine learning researcher and PhD candidate at TU Munich, currently based at Helmholtz-Zentrum Dresden-Rossendorf, with nine years of experience bridging research and applied engineering. He specializes in conditional generative modeling to tackle inverse problems in biomedical imaging, bringing domain-focused ML methods into practical research settings. His background includes applied roles at Amazon and a machine learning research engineer position at Centro de Imagenes Biomedicas UC, reflecting a track record of moving models from prototyping toward real-world applications. Gabriel holds a Master's in Signals and Systems and a Bachelor's in Computer Science from Pontificia Universidad Católica de Chile, grounding his work in strong signal-processing fundamentals. Notably, he combines academic rigor with production-minded problem solving—comfortable shifting between theoretical model design and engineering constraints in biomedical contexts.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Signals and Systems, Master's degree, Signals and Systems at Pontificia Universidad Católica de Chile
Stackoverflow
1reputation
299reached
0answers
1question
Github Skills (32)
pytorch9
python9
generative9
terrain9
deep-learning8
keras-neural-networks8
tensorflow8
machine-learning8
data-science8
driver6
jax6
neural-network6
binding6
rootkit6
keras5
Programming languages (3)
Github contributions (5)
nanoxas/sketch-to-terrain
Feb 2020 - Dec 2021
Implementation of Interactive Example-Based Terrain Authoring with Conditional Generative Adversarial Networks.
Contributions:1 release, 10 commits, 9 pushes in 1 year 10 months
pytorchdeep-learningadversarialconditionalauthoring
casus/pi-ddpm
Jul 2023 - Aug 2024
Contributions:8 pushes, 1 branch, 2 comments in 1 year 1 month
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