Max Shpak

This study evaluates genetic disease prediction methods using simulations, finding random forests most accurate, followed by logistic regression and naive Bayes, while neural networks performed worse.

This study compares population branch statistics to FST in detecting local selective sweeps, finding branch statistics more accurate and specific under various evolutionary models.

This study analyzes a Moran coalescent in a one-dimensional spatial model, showing that spatial structure increases genetic divergence and affects coalescent probabilities and times.

The paper shows that variance in estimated genetic distance differs between whole haplotype sampling and independent locus sampling, influenced by linkage disequilibrium.