Jonathan’s research focuses on the application of different statistical and mathematical methods to understand human genetic data. Past projects have spanned various topics in population and evolutionary genetics, such as (i) using a tree-like method to identify the optimal set of individuals to sequence when constructing internal reference panels for genotype imputation, (ii) investigating the relationship between genetic runs of homozygosity and demographic records of consanguinity in Jewish populations, and (iii) analyzing mathematical properties of various linkage disequilibrium statistics to understand why and how each of them is appropriate for use in particular settings. Jonathan hopes to continue applying similar approaches to the study of evolution within the microbiome.
