Josué Vizcaíno

Ingeniero De Software at ZEISS Microscopy

Munich, Bavaria, Germany
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Summary

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Senior
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Josué Vizcaíno is a software engineer and computational microscopy researcher with 12 years of experience, now building fluorescence deconvolution tools at ZEISS Microscopy in Munich. He holds a PhD-level background from TUM and Bern focused on 3D real-time microscopy, adaptive optics, and wave-optics modeling, and has applied deep learning and Bayesian methods (including Normalizing Flows) to inverse imaging problems. His skill set spans computer vision, tomographic reconstruction, GPU programming, and production frameworks such as PyTorch, CUDA, OpenCV and microManager. Prior roles include graphics validation at Intel and interactive visual arts and 3D animation work, giving him a rare blend of rigorous scientific computation and creative real-time visualization. He also brings embedded sensing and microcontroller experience, useful for end-to-end microscopy hardware–software integration. Pragmatic and curious, he enjoys replacing classical model components with probabilistic and learned alternatives to push imaging performance.
code12 years of coding experience
job4 years of employment as a software developer
bookIngeniería mecatronica, Robotica, Ingeniería mecatronica, Robotica at Universidad del Mayab
bookMechatronics Engineering, Robotics and artificial intelligence, Mechatronics Engineering, Robotics and artificial intelligence at Centro de Enseñanza Técnica Industrial
bookMaster of Science (M.Sc.), Biomedical Computing, Master of Science (M.Sc.), Biomedical Computing at Technische Universität München
languagesSpanish, English, German
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Stackoverflow

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123reputation
7kreached
2answers
2questions
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Github Skills (34)

convolutional-neural-networks10
4d10
calibration10
convolution10
n-dimensional10
animation9
deconvolution9
pytorch9
h39
kd-tree9
inverse-problems9
microscopy9
splines9
deep-learning8
3d8

Programming languages (5)

JavaTeXRoffJupyter NotebookPython

Github contributions (5)

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pvjosue/pytorch_convNd

Jun 2019 - Jan 2023

Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
Contributions:11 commits, 2 PRs, 16 pushes in 3 years 7 months
convolutionn-dimensionalpytorchconv4dconvnd
pvjosue/pvjosue.github.io

Apr 2020 - Jul 2023

Contributions:59 pushes, 1 branch in 3 years 3 months
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