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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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.
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.
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