J. Terhorst

Faster inference of complex demographic models from large allele frequency spectra

The paper introduces a new method for inferring complex demographic models from genetic variation data, achieving significant speedups over existing methods.

Accelerated Bayesian inference of population size history from recombining sequence data

This paper introduces a Bayesian method for inferring population size history from whole genome sequences, showing it is faster and more accurate than existing methods with full uncertainty quantification.

Identifiability and inference of phylogenetic birth-death models

The paper proves that phylogenetic birth-death models with piecewise polynomial rate functions are identifiable but shows rate function estimation remains challenging.

Direct detection of natural selection in Bronze Age Britain

The paper develops a method to estimate time-varying selection coefficients from ancient DNA data and identifies loci related to vitamin D and calcium in Bronze Age Britain.

Variational phylodynamic inference using pandemic-scale data

This paper introduces VBSKY, a method for analyzing large pathogen genetic datasets to estimate epidemiological parameters like reproduction number, validated against public health data.

A class of identifiable phylogenetic birth-death models

This paper shows that a class of phylogenetic birth-death models is identifiable, contrasting with previous results showing unidentifiability for other models.

Efficiently inferring the demographic history of many populations with allele count data

The paper introduces a method to efficiently compute the expected sample frequency spectrum for complex demographic histories described by general directed acyclic graphs, and applies it to estimate a basal Eurasian admixture event in humans.