Author

Nadezhda Malysheva

Freie Universität BerlinORCID 0000-0001-7825-0067Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Anna-Maria HartneriD· 1 shared Christopher IrrgangiD· 1 shared Diogo ParreiraiD· 1 shared Jakob‐Wendelin GengeriD· 1 shared Junyu WangiD· 1 shared Max von KleistiD· 1 shared Semyon Butyrin· 1 shared Tarique Adnan SiddiquiiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperEcology

Anna-Maria HartnerORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintApr 18, 2026

Suitable seasons: Global monthly habitat suitability for the arbovirus vectors Aedes aegypti and Aedes albopictus in 1975-2024

Tarique Adnan Siddiqui, Nadezhda Malysheva, Anna-Maria Hartner…·Christopher Irrgang

This paper presents a machine learning model predicting global monthly habitat suitability for Aedes aegypti and Aedes albopictus from 1975 to 2024, showing expanded suitable areas now covering over 5 billion people.

DOI 10.64898/2026.04.17.719149

machine learning (classical)ecology & biodiversity

𝕏 PostBluesky

Systems BiologyMathematical Modelling of Natural PhenomenaPeer-reviewedJan 1, 2022

Stochastic Simulation Algorithm for effective spreading dynamics on Time-evolving Adaptive NetworX (SSATAN-X)

Nadezhda Malysheva, Junyu Wang, Max von Kleist

This paper introduces SSATAN-X, a stochastic simulation algorithm for pathogen spreading on adaptive networks, achieving up to 100x speed-up over existing methods.

5 citations

statistical modelbenchmarking

𝕏 PostBluesky