Professor Pier Francesco Palamara
Contact information
Research groups
Professor Pier Francesco Palamara
Associate Professor of Statistical and Population Genetics
My research is at the intersection of statistics, computer science, and genetics. I develop methods to enable new types of analyses in statistical and population genetics, with a particular interest in problems that involve modeling and inference in large datasets. Specific areas of research include studying evolutionary parameters in the human genome (natural selection, mutation/recombination rates), reconstructing past demographic events using genetic data (migration, expansion/contraction of populations), studying the heritability and genetic architecture of complex traits (nature vs nurture), and detecting disease-causing variation in the human genome.
Recent publications
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Genome-Wide Natural Selection Signatures Are Linked to Genetic Risk of Modern Phenotypes in the Japanese Population.
Journal article
Yasumizu Y. et al, (2020), Molecular biology and evolution, 37, 1306 - 1316