Kevin Korfmann

The paper introduces fastrho, a neural network for recombination mapping that works across species and scenarios, showing it can produce accurate recombination maps and detect selection effects.

pg_gpu accelerates population genetics statistics on GPUs, achieving significant speedups over CPU implementations while maintaining accuracy.

This paper introduces a GPU-accelerated method to compute pairwise coalescence times at gene resolution, identifying recent selection signals in diverse human populations.

The paper introduces cxt, a transformer-based model that predicts coalescence times from mutation patterns, achieving performance comparable to MCMC methods and enabling efficient inference on genomic data.

The paper investigates hybridization between Arabis nemorensis and A. sagittata, identifying QTLs associated with phenotypic traits and hybrid fitness, revealing both challenges and opportunities for adaptation.

The paper extends the stdpopsim simulation framework to include realistic selection models, enabling studies of selection's impact on genetic variation across species.

The paper uses methylomes to infer demographic histories in Arabidopsis thaliana and Brachypodium distachyon, finding that methylation variants reveal recent population expansions not detectable with SNPs.

This paper introduces two methods to infer demographic history and selection from sequence data by modeling the ancestral recombination graph under the beta coalescent.