Svetlana Kutuzova
Short profile
Svetlana’s PhD project was aiming to leverage the advances of deep learning and big data in the metabolomics field. Mass spectrometry based untargeted metabolomics workflows suffer from slow data processing times due to the lack of highly efficient information extraction algorithms. The project scope includes both theoretical developments of deep learning modelling frameworks, as well as the application of the novel family of models to the molecule structure prediction problem. Currently she is a postdoctoral researcher at Collaborative Crop Resilience Program using deep multimodal representation learning to integrate multi-omics and image data.
Brief CV
- 09/2019–present: Postdoc at Computer Science Department/Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark
- 08/2018–07/2021: PhD student at Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark
- 06/2013–07/2018: Software Developer positions at DTU Biosustain, Lamoda, Yandex
- 09/2008–06/2014: Bachelor and Master degree from Lomonosov Moscow State University
Publications
“SmartPeak automates targeted and quantitative metabolomics data processing” Svetlana Kutuzova, Pasquale Colaianni, Hannes Rost, Timo Sachsenberg, Oliver Alka, Oliver Kohlbacher, Bo Burla, Federico Torta, Lars Schrubbers, Mette Kristensen, Lars Nielsen, Markus J Herrgård, Douglas McCloskey. Analytical chemistry, 2020 Full text
“Cameo: a Python library for computer aided metabolic engineering and optimization of cell factories” Joao GR Cardoso, Kristian Jensen, Christian Lieven, Anne Sofie Lærke Hansen, Svetlana Galkina, Moritz Beber, Emre Ozdemir, Markus J Herrgård, Henning Redestig, Nikolaus Sonnenschein. ACS synthetic biology, 2018 Full text
“Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry” Svetlana Kutuzova, Christian Igel, Mads Nielsen, Douglas McCloskey. Full text
“Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts” Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel. Full text
“A Machine Learning Approach to Predict 5-year Risk for Complications in Type 1 Diabetes” Naba Al-Sari, Svetlana Kutuzova, Tommi Suvitaival, Peter Henriksen, Flemming Pociot, Peter Rossing, Douglas McCloskey, Cristina Legido-Quigley. Full text