Svetlana Kutuzova

Assistant Professor at Datalogisk Institut, Københavns Universitet - DIKU

Copenhagen, Capital Region of Denmark
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Summary

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Senior
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Top School
Svetlana Kutuzova is an Assistant Professor and bioinformatics researcher with 12 years of software and AI experience, specializing in deep learning for metabolomics and multimodal representation learning. She holds a PhD from the Novo Nordisk Foundation Center for Biosustainability/University of Copenhagen and has driven both theoretical generative-model advances and practical tool development for mass spectrometry workflows. Her work spans academia and industry—transitioning from backend development at projects like OpenMS (fixing MILP-based MRM feature selection in C++) to leading AI-driven plant microbiome modeling for crop resilience. Comfortable across C++ and full-stack ecosystems, she combines rigorous algorithmic thinking with product-minded engineering and collaborative consortium leadership. Colleagues note she gravitates toward mission-driven biotech projects where computational innovation accelerates experimental discovery.
code12 years of coding experience
job8 years of employment as a software developer
bookLomonosov Moscow State University
languagesEnglish, Russian, Danish
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Stackoverflow

Stats
564reputation
33kreached
17answers
1question
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Github Skills (13)

algorithms10
mass-spectrometry10
openms10
c-language10
cprogramming-language10
proteins9
missing-data6
pandas6
glpk6
alpine-linux6
linux6
libuv6
python6

Programming languages (7)

TypeScriptC++JavaScriptHTMLJupyter NotebookAssemblyPython

Github contributions (5)

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OpenMS/OpenMS

Aug 2018 - Feb 2020

The codebase of the OpenMS project
Role in this project:
userBack-end Developer
Contributions:46 commits, 1 PR, 5 comments in 1 year 6 months
Contributions summary:Svetlana focused on fixing and enhancing the MRMFeatureSelector code within the OpenMS project. They addressed issues related to the MILP problem, optimized scoring mechanisms, and corrected objective functions. The user’s contributions involved modifying C++ code, specifically within the ANALYSIS/OPENSWATH directory, which suggests a focus on mass spectrometry data analysis and algorithm optimization. The user also made code style improvements related to C++11 standards.
windowsanalysesms-datalinuxc-plus-plus
DD-DeCaF/iloop-to-model

Nov 2016 - May 2018

Contributions:31 PRs, 60 pushes, 14 branches in 1 year 6 months
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Svetlana Kutuzova - Assistant Professor at Datalogisk Institut, Københavns Universitet - DIKU