Madleina Caduff

SweepLink jointly infers demography and linked selection from time-series data, improving detection of selection signals compared to single-locus methods.

The paper quantifies gene-environment interactions in fir and beech regeneration across Europe, showing contrasting effects on germination and post-establishment survival.

This paper introduces birp, a Bayesian tool for testing population trend changes in ecological data, showing it can accurately detect trends even with noisy or sparse data.

The paper introduces TreeSwirl, a method to infer locus-specific mixture proportions from genome-wide allele frequencies, outperforming existing methods in accuracy and sensitivity.

BeXY is a Bayesian method that jointly infers sex chromosome karyotypes and sex-linked scaffolds from low-depth sequencing data, outperforming existing methods in accuracy and power.