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

Cell-free DNA TAPS provides multimodal information for early cancer detection
Journal article

Siejka-Zielinska P. et al, (2021), SCIENCE ADVANCES, 7
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

More publications