Frédéric Austerlitz

This study evaluates simulation-based supervised machine learning methods for inferring demographic parameters from genomic data, showing MLP outperforms other ML and ABC methods.

This paper shows that cultural transmission of reproductive success affects genomic diversity, coalescent tree topologies, and demographic inferences by altering effective population size and distorting tree structures.

The paper develops a method to infer historical linguistic transmission using within-population linguistic diversity and demographic models.

The paper introduces a graphical model method for inferring population relationships from DNA sequences and validates it on simulated data.