Pablo Gómez
Research Scientist at European Space Agency
Madrid, Community of Madrid, Spain
Summary
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SeniorPablo Gómez is a data scientist and research engineer with 12 years of experience applying deep learning, numerical simulation and applied mathematics to medical imaging, genomics and remote sensing. He holds a Dr.-Ing. in Medical Image Processing and has built and deployed research-grade software—from high-speed endoscopic video analysis tools to onboard ML systems for the European Space Agency. At ESA he has led interdisciplinary studies on space debris, onboard disaster detection and modeling constraints for spacecraft, while earlier work translated genomic and clinical questions into ML products at Quantgene. Comfortable bridging academia and operational teams, he frequently supervises students, organizes scientific events, and drives open collaboration across institutions. A not-obvious strength is his blend of HPC-aware algorithm design and practical deployment experience, enabling models that scale from lab prototypes to onboard space hardware.
13 years of coding experience
Github Skills (70)
inverse10
python10
semi-supervised-learning10
gpu10
conda10
automatic-differentiation10
simulation10
pytorch10
numerical-integration10
machine-learning10
journal9
conda-forge9
paper9
jax9
open-access9
Programming languages (3)
Github contributions (5)
conda-forge/torchquad-feedstock
Aug 2021 - Jan 2025
A conda-smithy repository for torchquad.
Contributions:3 reviews, 6 PRs, 5 pushes in 3 years 5 months
condasmithy
aidotse/PASEOS
Sep 2022 - Mar 2023
PASEOS - PAseos Simulates the Environment for Operating multiple Spacecraft
Contributions:3 releases, 155 reviews, 368 commits in 5 months
operatingsimulationspacecraft
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