Daniil Kazantsev

Harwell Campus, UK, Russia
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Summary

👤
Senior
Daniil Kazantsev is a Senior Software Scientist who applies a rare blend of applied mathematics, numerical analysis and hands-on software engineering to solve inverse problems in imaging across geoscience, medical and materials research. With over a decade of focused work on tomographic reconstruction—from PET/SPECT at UCL to multi-channel X-ray and neutron CT at Manchester and Diamond Light Source—he builds rigorously validated numerical frameworks and practical reconstruction toolkits. He contributes low-level C and CUDA implementations as well as Python wrappers (notably to the widely used Tomopy project), combining performance-oriented core code with high-level usability. Comfortable across Python, Matlab, C, Fortran and revision control systems, he moves fluidly between analytical derivations, large-scale simulations and production-ready code. Colleagues rely on him to translate abstract mathematical reasoning into reproducible software that tackles noisy, artifact-prone datasets. Based in West Oxfordshire, he brings both academic depth and operational experience within major UK synchrotron and imaging facilities.
code9 years of coding experience
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Github Skills (10)

c1710
image-reconstruction10
tomography10
c1110
python10
recovery10
image-processing10
3d-reconstruction10
numpy8
openmp6

Programming languages (6)

TypeScriptC++CSCSSJupyter NotebookPython

Github contributions (5)

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tomopy/tomopy

Dec 2022 - Jan 2023

Tomographic Reconstruction in Python
Role in this project:
userBack-end Developer
Contributions:35 reviews, 9 commits, 4 PRs in 23 days
Contributions summary:Daniil's commits primarily focus on implementing and refining image processing algorithms within the Tomopy library, a project focused on tomographic reconstruction. They contributed to the development of 3D median filtering and dezingering functionalities, which are critical for noise reduction and artifact removal in tomographic data. This included writing C code for core image processing functions, creating Python wrappers, and integrating these components into the tomopy codebase to enable their use from Python.
pythontomographyreconstructiontoolbox
Contributions:19 commits, 18 pushes, 2 branches in 2 years 3 months
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