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Welcome! We are located on the 3rd floor of the Genome Sciences Building at the University of North Carolina, Chapel Hill, NC.

 

The lab is currently funded by the NIH (NIGMS R35) and we are actively looking to hire both postdoctoral scholars and graduate students. More information is available here.

Our research interests broadly span population genetics, statistical inference, and evolutionary genomics. We are interested in how nonadaptive evolutionary processes like changes in population size, recombination, mutation, direct and indirect effects of negative selection and factors such as genome architecture jointly shape patterns of genomic variation. Work in the lab involves employing computational and theoretical approaches, developing statistical methods, or using an empirical approach to perform evolutionary inference and ask fundamental questions in population genetics. To learn more, please check our Research page. Here are some questions that we are interested in:

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  • How much do adaptive vs. non-adaptive evolutionary processes contribute to genome-wide patterns of variation?

  • How does selection against deleterious mutations shape variation at linked sites? 

  • What does the distribution of fitness effects of new mutations look like? How can we infer its shape from population-genetic data?

  • What are the selective forces acting on other types of mutations like gene duplicates?

  • How can we construct evolutionary baseline models of human pathogens?

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NEWS

Jun 06, 2025        The Johri Lab has received seed funding from the College of Arts and Sciences at                                    UNC to develop an evolutionary baseline model for population genomic inference in                                  the malaria parasite. Thanks so much UNC!

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Apr 26, 2025        Jacob has a new preprint! We investigate the effects of rescaling forward-in-time                                        population genetic simulations. Read it here.

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Apr 08, 2025        Brian Charlesworth and I propose a gene-based model of fitness and investigate its                                  effects on patterns of linkage disequilibrium and mutational load. Read it here and                                    here.

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Nov 14, 2024        Austin's paper was accepted at Evolution! Congratulations Austin!

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Nov 01, 2024        Sol Sloat has joined our lab! Welcome Sol!

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Jun 24, 2024        Parul was awarded the Early Career Excellence Award by the Society for Molecular                                   Biology and Evolution. Thanks so much - the award committee, Parul's mentors and                                 collaborators, and everyone in the Lab!

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Jun 11, 2024        Jacob's paper was accepted at MBE! Congratulations Jacob!

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Apr 26, 2024        Jacob has a new preprint! We investigate how ARG-based methods to infer population                              history might be biased in human and drosophila populations experiencing realistic                                  levels of selection. Read it here.

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