Professor Pier Francesco Palamara

My research is at the intersection of statistics, computer science, and genetics. Our group develops statistical and machine learning algorithms to enable new types of analyses in large human genomic data sets. Specific areas of research 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.