Author

Maria Ivanova

AIRI - Artificial Intelligence Research Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Organism:Drosophila· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Andrey ShevtsoviD· 1 shared Dmitry VetroviD· 1 shared Ekaterina MorozovaiD· 1 shared Eve E. MarderiD· 1 shared Fedor NikolaeviD· 1 shared Gillian Berglund· 1 shared Huaxinyu Wang· 1 shared Melina Pérez TorresiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperBioinformatics

Andrey ShevtsovORCID

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3 papers

Recent·Most cited

Cell-type-specific circadian and light-responsive transcriptional dynamics in adult Drosophila neurons

Gillian Berglund, Pranav Ojha, Maria Ivanova, Melina Pérez Torres, Michael Rosbash

The paper profiles circadian neuron transcriptomes across timepoints under different light conditions to reveal transcriptional and light-dependent gene regulation in Drosophila.

Proceedings of the National Academy of Sciences · Sep 8, 2026Peer-reviewedNeuroscience

Rapid, interpretable, data-driven models of neural dynamics using Recurrent Mechanistic Models

Thiago B. Burghi, Maria Ivanova, Ekaterina Morozova, Huaxinyu Wang, Eve E. Marder, Timothy O’Leary

This paper introduces Recurrent Mechanistic Models (RMMs) for predicting neural dynamics, showing they can be trained quickly and are interpretable for small circuits.

Proceedings of the National Academy of Sciences · Aug 4, 2025Peer-reviewedNeuroscience

Towards Robust Evaluation of Protein Generative Models: A Systematic Analysis of Metrics

П. В. Страшнов, Andrey Shevtsov, Viacheslav Meshchaninov, Maria Ivanova, Fedor Nikolaev, Olga L. Kardymon, Dmitry Vetrov

This paper systematically evaluates metrics for protein generative models, identifying challenges and offering recommendations for robust evaluation.

bioRxiv · Oct 25, 2024 · PreprintBioinformatics