Author

Josef Hackl

University of ViennaORCID 0009-0009-7748-7148Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:chicken / avian· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Martin KuhlwilmiD· 2 shared Xin HuangiD· 2 shared Harvinder PawariD· 1 shared Simon CheniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Martin KuhlwilmORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 15, 2026

GAISHI: A Python Package for Detecting Ghost Introgression with Machine Learning

Xin Huang, Josef Hackl, Harvinder Pawar, Martin Kuhlwilm

GAISHI detects ghost introgression using machine learning algorithms and provides a user-friendly Python package for this task.

1 citation

machine learning (classical)benchmarking

𝕏 PostBluesky

Evolutionary BiologyMolecular Biology and EvolutionPeer-reviewedNov 18, 2025

SAI: A Python Package for Statistics for Adaptive Introgression

Xin Huang, Simon Chen, Josef Hackl, Martin Kuhlwilm

SAI computes adaptive introgression statistics and applies them to three datasets, identifying candidate regions and highlighting discrepancies with prior results.

2 citations

humanchicken / avian

𝕏 PostBluesky