UCLA

This dissertation develops statistical and computational methods for human genetics. We considerproblems in genome-wide association studies, imputation, phasing, and ancestry inference. The methods we develop are statistically robust, grounded in biological reality, and run extremely fast. Furthermore, we test these methods on the largest data available to us, such as the UK Biobank and Haplotype Reference Consortium. We implement our methods in individual, open-sourced Julia packages. They are freely available to the scientific community through the OpenMendel platform.