Author

Julius Wiegert

Heidelberg Institute for Theoretical StudiesORCID 0009-0003-4518-1749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandros StamatakisiD· 2 shared Dimitri HöhleriD· 2 shared Anastasis TogkousidisiD· 1 shared Christoph StelziD· 1 shared Julia HaagiD· 1 shared Oleksiy M. KozloviD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Alexandros StamatakisORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 11, 2026

RAxML-NG 2: Automatic model selection, novel tree search heuristics, and fast branch support metrics

Oleksiy M. Kozlov, Anastasis Togkousidis, Christoph Stelz…·Alexandros Stamatakis

RAxML-NG 2.0 introduces new features for phylogenetic inference, including automatic model selection and faster branch support metrics, with significant speed improvements.

DOI 10.64898/2026.09.09.750097

statistical modelphylogenetics / evolution

𝕏 PostBluesky

BioinformaticsMolecular Biology and EvolutionPeer-reviewedOct 1, 2024

Predicting Phylogenetic Bootstrap Values viaMachine Learning

Julius Wiegert, Dimitri Höhler, Julia Haag, Alexandros Stamatakis

The paper introduces EBG, a machine learning tool that predicts Felsenstein Bootstrap Support values for phylogenies, achieving high speed and accuracy compared to existing methods.

9 citations

machine learning (classical)benchmarking

𝕏 PostBluesky