Evolutionary Biology | Research Interests

Name	Email	PhD Program
Ott, Isabel EMAIL	PHD PROGRAM RESEARCH INTEREST Evolutionary Biology, Pathogenesis & Infection, Virology	“I’m interested in understanding what drives vector-borne virus transition between endemic and epidemic transmission cycles, including virus evolution, ecology, epidemiology, and pathogenesis. I hope to focus on arboviruses endemic to North America, and the ways eco-epidemiological change has shaped disease burdens in these largely understudied viruses.”
Almeida, Gabriela EMAIL	PHD PROGRAM RESEARCH INTEREST Bioinformatics, Computational Biology, Evolutionary Biology	“My main research interest is in evolutionary and computational biology. I am interested in comprehending the evolutionary forces acting upon individuals that impact genetic diversity. The current scientific scenario is prolific due to the availability of large and complex genetic databases. The growing computational methods using statistics and machine learning allow the extraction of relevant information to have a deeper understanding of evolution. I am finalizing my master’s degree in evolutionary biology using computational methods to understand the dynamics of gene duplications.”
Johri, Parul WEBSITE EMAIL PUBLICATIONS	PHD PROGRAM Bioinformatics & Computational Biology RESEARCH INTEREST Computational Biology, Evolutionary Biology, Genomics	Our research interests broadly span population genetics, statistical inference, and evolutionary genomics. We are interested in how evolutionary processes like changes in population size, recombination, mutation, selection and factors such as genome architecture shape patterns of genomic variation. Work in the lab involves employing computational and theoretical approaches, statistical method development, or using an empirical approach to perform evolutionary inference and ask fundamental questions in population genetics.
Parr, Jonathan WEBSITE EMAIL PUBLICATIONS	PHD PROGRAM Genetics & Molecular Biology RESEARCH INTEREST Evolutionary Biology, Genomics, Translational Medicine	Dr. Parr’s research focuses on the infectious diseases of poverty, with translational projects in the Democratic Republic of the Congo (DRC) and other sites. His research concentrates on the molecular epidemiology of malaria and the evolution of “diagnostic-resistant” strains of Plasmodium falciparum, in particular. As a founding member of a World Health Organization laboratory network, he collaborates with malaria control programs and ministries of health to support surveillance of these parasites across Africa. His recent work in Ethiopia uncovered genetic signatures of strong positive selection favoring parasites with pfhrp2 gene deletion and influenced malaria diagnostic and surveillance policy in the Horn of Africa. Dr. Parr has recently expanded his research program to include studies of other diseases that disproportionately impact marginalized populations worldwide, including viral hepatitis and syphilis, and serves as the director of the genomics core for a large NIH-funded syphilis vaccine development project that spans sites in Malawi, Columbia, China, North Carolina, and the Czech Republic. Rotating students can expect to undertake translational projects that apply cutting-edge methodologies to real-world problems. Examples include application of novel enrichment methods that enable pathogen genomic sequencing from challenging field samples, development of CRISPR-based diagnostic assays, and evaluation of how infectious disease interventions affect pathogen population structure. Trainees will interact with diverse investigators and benefit from a highly collegial training environment in the Infectious Disease Epidemiology and Ecology Lab. Dr. Parr continues to attend on the infectious disease inpatient services at UNC Medical Center and, in response to the pandemic, co-directed the UNC division of infectious diseases’ inpatient COVID-19 services. He also serves as Associate Editor for global health for Healthcare: The Journal of Delivery Science and Innovation. Dr. Parr and his work have been featured in the New York Times, Washington Post, CNN, and other media outlets.
Joseph, Sarah B. EMAIL PUBLICATIONS	PHD PROGRAM Microbiology & Immunology RESEARCH INTEREST Evolutionary Biology, Genetics, Neurobiology, Pathogenesis & Infection, Virology	We use studies of HIV/SIV evolution to reveal information about viral dynamics in vivo. This typically involves genetic and/or phenotypic analyses of viral populations in samples from HIV-infected humans or SIV-infected nonhuman primates (NHPs). We are currently exploring the mechanisms that contribute to neurocognitive impairment in HIV-infected people by sequencing viral populations in the CNS of humans and NHPs not on antiretroviral therapy. We are also using these approaches to examine viral populations that persist during long-term antiretroviral therapy in an effort to better understand the viral reservoirs that must be targeted in order to cure HIV-infected people.
Matute, Daniel WEBSITE EMAIL PUBLICATIONS	PHD PROGRAM Bioinformatics & Computational Biology, Biology, Genetics & Molecular Biology RESEARCH INTEREST Computational Biology, Evolutionary Biology, Genetics, Genomics, Organismal Biology	My research program studies how species form. We use a combination of approaches that range from field biology, behavior, and computational biology.
Gordon, Kacy EMAIL PUBLICATIONS	PHD PROGRAM Biology, Genetics & Molecular Biology RESEARCH INTEREST Cell Biology, Developmental Biology, Evolutionary Biology, Genetics	The Gordon lab is brand new to UNC, and studies stem cell and stem cell niche biology in the model organism C. elegans. The germ line stem cells make the gametes, which make the next generation of worms. These cells are therefore at the nexus of development, genetics, and evolution. We will be getting started with projects pertaining to evolutionary comparative gene expression in the stem cells and stem cell niche and niche development. The techniques we use include molecular biology, CRISPR/Cas9-mediated genome editing, worm genetics, and microscopy.
Schrider, Daniel WEBSITE EMAIL PUBLICATIONS	PHD PROGRAM Bioinformatics & Computational Biology RESEARCH INTEREST Bioinformatics, Computational Biology, Evolutionary Biology, Genetics, Genomics	The Schrider Lab develops and applies computational tools to use population genetic datasets to make inferences about evolutionary history. Our research areas include but are not limited to: characterizing the effects natural selection on genetic variation within species, identifying genes responsible for recent adaptation, detecting genomic copy number variants and other weird types of mutations, and adapting machine learning tools for application to questions in population genetics and evolution. Study organisms include humans, the fruit fly Drosophila melanogaster and its relatives, and the malaria vector mosquito Anopheles gambiae.
Dangl, Jeff WEBSITE EMAIL PUBLICATIONS	PHD PROGRAM Bioinformatics & Computational Biology, Biology, Genetics & Molecular Biology, Microbiology & Immunology RESEARCH INTEREST Evolutionary Biology, Genetics, Genomics, Pathogenesis & Infection, Plant Biology	We use the premier model plant species, Arabidopsis thaliana, and real world plant pathogens like the bacteria Pseudomonas syringae and the oomycete Hyaloperonospora parasitica to understand the molecular nature of the plant immune system, the diversity of pathogen virulence systems, and the evolutionary mechanisms that influence plant-pathogen interactions. All of our study organisms are sequenced, making the tools of genomics accessible.
Burch, Christina WEBSITE EMAIL PUBLICATIONS	PHD PROGRAM Biology RESEARCH INTEREST Computational Biology, Evolutionary Biology, Genetics, Genomics, Virology	Experimental Evolution of Viruses. We use both computational and experimental approaches to understand how viruses adapt to their host environment. Our research attempts to determine how genome complexity constrains adaptation, and how virus ecology and genetics interact to determine whether a virus will shift to utilizing new host. In addition, we are trying to develop a framework for predicting which virus genes will contribute to adaptation in particular ecological scenarios such as frequent co-infection of hosts by multiple virus strains. For more information, and for advice on applying to graduate school at UNC, check out my lab website www.unc.edu/~cburch/lab.

Research Interest: Evolutionary Biology