Author

Maximilian Pichler

University of RegensburgORCID 0000-0003-2252-8327Unclaimed 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:ecology & biodiversity· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

Frequent Co-Authors

Alejandro MartíneziD· 2 shared Diego FontanetoiD· 2 shared Willem RenemaiD· 2 shared Amélie LeroyiD· 1 shared Florian HartigiD· 1 shared Hélène MorloniD· 1 shared Ismaël LajaaitiiD· 1 shared Jakub VoznicaiD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersEcology

Alejandro MartínezORCID

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3 papers

Recent·Most cited

EcologybioRxivPreprintSep 13, 2025

Urbanisation is associated with habitat-specific richness loss and community turnover across an ecotone

Alejandro Martínez, Sude Çakir, Marta García‐Cobo…·Jan‐Niklas Macher

The paper examines how urbanisation affects biodiversity in beach-dune ecotones, finding habitat-specific responses in community composition, richness, and turnover.

DOI 10.1101/2025.09.13.675372

metagenomicsstatistical model

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintAug 14, 2025

Graph Neural Networks for Likelihood-Free Inference in Diversification Models

Amélie Leroy, Ismaël Lajaaiti, Sophia Lambert…·Laurent Jacob

This paper shows that graph neural networks with a new pooling method can accurately estimate diversification parameters in complex models where likelihoods are intractable.

2 citations

deep learninggraph neural network

𝕏 PostBluesky

EcologyMolecular EcologyPeer-reviewedMar 20, 2025

Metacommunity theory and metabarcoding reveal the environmental, spatial, and biotic drivers of meiofaunal communities in sandy beaches

Jan-Niklas Macher, Maximilian Pichler, Simon Creer…·Willem Renema

The paper uses metacommunity theory and metabarcoding to analyze meiofaunal communities in sandy beaches, finding environmental and spatial factors drive community assembly.

14 citationstop 3%

metagenomicsstatistical model

𝕏 PostBluesky