Developing methods to enable new types of analyses in statistical and population genetics.
We are a research group based at Oxford University’s Department of Statistics and at the Wellcome Centre for Human Genetics, working at the intersection of computer science, statistics, and genetics. We develop statistical and machine learning algorithms to enable new types of analyses in large human genomic data sets. Specific areas of research in human genomics include:
* Developing algorithms for simulation, reconstruction, and analysis of large-scale genealogical data (gene genealogies, haplotype sharing, phasing, imputation).
* Studying demographic events and evolutionary parameters (migration, expansion/contraction of populations, natural selection, mutation/recombination rates).
* Studying the genetic architecture of complex traits and detecting disease-causing variation in the human genome (heritability, polygenic prediction, association).
Additional details can be found at https://www.stats.ox.ac.uk/~palamara.