Leonid Kostrykin
Postdoctoral Researcher at Heidelberg University
Schriesheim, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolLeonid Kostrykin is a postdoctoral researcher at Heidelberg University with 11 years of experience applying globally optimal computer vision and image processing methods to biomedical imaging and graphics. He holds a PhD in Computer Science (magna cum laude) and combines rigorous academic research with practical software engineering, contributing to infrastructure and test automation for high-profile open-source projects like Galaxy. As ELIXIR Germany Officer at HD-HuB he drives integration of image analysis tools into community platforms such as Galaxy Europe and Bioconda, bridging research code and reproducible bioinformatics workflows. His background spans research fellowships and industry-facing roles, and he has hands-on expertise implementing image comparison testing using Pillow and NumPy—an indicator of his focus on robust, verifiable imaging pipelines.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Scientific Programming, 1.6, Bachelor of Science (B.Sc.), Scientific Programming, 1.6 at FH Aachen University of Applied SciencesDoctor of Philosophy - PhD, Computer Science, magna cum laude, Doctor of Philosophy - PhD, Computer Science, magna cum laude at Heidelberg UniversityMaster of Science (M.Sc.), Computer Science, 1.0, Master of Science (M.Sc.), Computer Science, 1.0 at University of Düsseldorf
Russian, German, English
Stackoverflow
4,222reputation
247kreached
32answers
60questions
image-processing
top-5%
Github Skills (14)
python10
numpy10
test-automation10
image-processing9
testing9
bioinformatics9
test-framework8
pytest8
tomcat6
convolution6
eclipse6
android6
multithreading6
java6
Programming languages (17)
Github contributions (5)
galaxyproject/galaxy
Jul 2023 - Mar 2025
Data intensive science for everyone.
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:16 reviews, 11 PRs, 47 comments in 1 year 8 months
Contributions summary:Leonid primarily contributed to the development of testing infrastructure and verification tools within the Galaxy project. Their work focused on implementing and testing a new image comparison feature (`files_image_diff`) using libraries like Pillow and NumPy. The user added the `image_diff` comparison for test files and added several test cases for this new function. Their contributions enhanced the project's ability to validate image-based data, which is relevant to the bioinformatics domain of the project.
pythonsciencepipelinednadata-science
kostrykin/report-test-coverage-action
Feb 2024 - Mar 2025
Create badge of the test coverage + report the test coverage in pull requests
Contributions:5 releases, 9 PRs, 48 pushes in 1 year 1 month
cigithub-workflowstest-coverage
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