Daniil Kazantsev
Senior Software Scientist at Diamond Light Source
West Oxfordshire, England, United Kingdom
Summary
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SeniorDaniil 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.
8 years of coding experience
14 years of employment as a software developer
Russian, English
Github Skills (10)
c1710
image-reconstruction10
tomography10
c1110
recovery10
python10
image-processing10
3d-reconstruction10
numpy8
openmp6
Programming languages (5)
Github contributions (5)
tomopy/tomopy
Dec 2022 - Jan 2023
Tomographic Reconstruction in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions: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.
toolboxreconstructionpythontomography
DiamondLightSource/httomolib
Jun 2023 - Dec 2024
A library of data processing and reconstruction methods for tomography
Contributions:2 releases, 2 reviews, 18 PRs in 1 year 6 months
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