Josué Vizcaíno
Ingeniero De Software at ZEISS Microscopy
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJosué 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.
12 years of coding experience
4 years of employment as a software developer
Ingeniería mecatronica, Robotica, Ingeniería mecatronica, Robotica at Universidad del MayabMechatronics Engineering, Robotics and artificial intelligence, Mechatronics Engineering, Robotics and artificial intelligence at Centro de Enseñanza Técnica IndustrialMaster of Science (M.Sc.), Biomedical Computing, Master of Science (M.Sc.), Biomedical Computing at Technische Universität München
Spanish, English, German
Stackoverflow
123reputation
7kreached
2answers
2questions
Github Skills (47)
convolutional-neural-networks10
4d10
calibration10
microscopy10
animation9
inverse-problems9
n-dimensional9
convolution8
splines8
kd-tree8
geodesy8
h38
photonics8
pytorch8
geostatistics8
Programming languages (5)
Github contributions (5)
pvjosue/pytorch_convNd
Jun 2019 - Jan 2023
Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
Contributions:11 commits, 1 PR, 15 pushes in 3 years 7 months
pytorchcallingrecursivelyuntilconvolution
pvjosue/LFMNet
Mar 2020 - Sep 2021
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
Contributions:24 commits, 1 PR, 37 pushes in 1 year 5 months
pytorchreconstructionmicroscopy-imageslightdeep-learning
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