Tabita Muñoz
Estudiante De Doctorado at TensorFlow User Group Santiago
Santiago, Santiago Metropolitan Region, Chile
Summary
👤
Senior🎓
Top SchoolTabita Muñoz is a PhD student and applied mathematics engineer specializing in deep learning for undersampled cardiac cine MRI reconstruction, with eight years of research and engineering experience. She works at iHEALTH and the Millennium Nucleus ACIP, developing self-supervised and unsupervised models to improve image quality while reducing scanner time. Her background combines a Civil Mathematical Engineering degree and a Master's in Applied Mathematics, giving her strong PDE, numerical methods and ML foundations. Past projects span epidemiological modeling, MRI denoising with finite element methods, and visualization tooling at a supercomputing center, reflecting an ability to move between theoretical models and practical implementations. She also supports the TensorFlow User Group Santiago as an organizer and content maintainer, bridging research and community dissemination. Tabita’s profile reveals a rare blend of rigorous numerical analysis and hands-on deep learning applied to clinically relevant imaging problems.
8 years of coding experience
Magíster en Ciencias de la Ingeniería, mención Matemáticas Aplicadas, Computational and Applied Mathematics, Magíster en Ciencias de la Ingeniería, mención Matemáticas Aplicadas, Computational and Applied Mathematics at Universidad de Chile
Spanish, English
Github Skills (5)
bundling3
visualization2
python2
graph2
graph-visualization1
Programming languages (2)
Github contributions (5)
danpereda/TFUG_Santiago
Oct 2021 - Aug 2022
Contributions:14 commits, 4 PRs in 10 months
tabitaCatalan/julia.ForceBundle
Aug 2021 - Nov 2021
Contributions:94 commits, 17 pushes, 1 branch in 2 months
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