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Faculty Research Area: Statistical Inference

Johri, Parul

January 19, 2023

The Johri Lab is interested in how evolutionary processes like changes in population size, recombination rate, direct and indirect effects of selection and factors such as genome architecture shape patterns of genomic variation. Work in the lab involves employing computational and theoretical approaches or statistical method development or using an empirical approach to perform evolutionary inference and ask fundamental questions in population genetics. Here are some questions that we are interested in:

  • How much do adaptive vs. non-adaptive evolutionary processes contribute to genome-wide patterns of variation?
  • How does selection shape patterns of variation at nearby linked sites?
  • What does the distribution of fitness effects of new mutations look like across species? How can we infer its shape from population-genetic data?
  • What are the selective forces acting on other types of mutations like gene duplicates?

    • Publications