Elizabeth Mandeville

• Integrative Biology

• Animal biology
• Biodiversity
• Bioinformatics
• Biotechnology

• Barcoding and its applications
• Cell biology and genetics
• Ecology and evolution
• Freshwater ecosystems
• Natural resource management
• Physiology

I study hybridization, speciation, and genetic structure of natural populations of fish using computational approaches, and am particularly interested in how and why evolutionary processes vary through space and time. I use genomic and ecological data to better understand evolutionary and ecological interactions between species.

I study evolution in heterogeneous environments, over large geographic ranges, and in the presence of variable species assemblages by using computational approaches and bioinformatics techniques to analyze large, high-resolution genomic datasets. My work revolves around two focal questions: 1) How consistent are evolutionary and ecological outcomes of species interactions? and 2) To what extent are species evolutionarily cohesive across their ranges? Most of the fish species I study are affected by human-mediated disturbances, including species introductions and fragmentation of aquatic habitat by dams. I use large genomic, ecological, and isotopic datasets to understand how evolutionary processes function across ecological contexts.

Computational approaches, bioinformatics techniques; genomic, ecological, and isotopic datasets; dynamic, web browser-based data visualization methods.

University of Wyoming, University of Alabama, University of Nevada–Reno, Utah State University, Wyoming Game and Fish Department, Tejon Ranch Conservancy, Colorado Parks and Wildlife, University of Montana (USA); University of Bern (Switzerland).

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