William is pursuing his PhD in ecology. His current research involves collaborating with state, federal, and non-governmental partners to perform a genetic assessment of Yellowstone cutthroat trout across their range in Wyoming, Montana, and Idaho.
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Theodora is pursuing her PhD in astronomy. She uses a technique called reverberation mapping to measure the masses of active galactic nuclei, which are types of supermassive black holes.
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Evan is an astrophysics graduate student at the University of Wyoming using spectroscopy to study the evolution of binary star systems.
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Janelle is an animal science pre-veterinary major. Her research is focused on finding more in-depth explanations as to why cattle are more susceptible to heart disease.
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Kaitlyn is a dedicated researcher with a passion for ecology and mathematics. Her research explores the temporal variability in population abundances, a phenomenon found in many natural systems that significantly influences key ecological processes.
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One of our undergraduate research fellows, Gabrielle Graham, recent attended and presented a poster at the 243rd Meeting of the American Astronomical Society (AAS) in New Orleans.
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Bri Agenbroad grew up in an urban environment, but her passion for wildlife ecology was ignited after accepting a life-changing career as a kayak guide in Alaska.
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My name is Annie Walgren and I am from Laramie, WY. I am a senior at the University of Wyoming studying Microbiology and Molecular Biology. In the Wyoming Water Bear Lab, Annie’s research focuses on the unique ability of tardigrades to survive in extreme environments.
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Dani is working with postdoctoral researcher, Dulcinea Groff, in the Shuman Lab. They are researching factors that may influence interpretations of paleoclimate proxies using sedges (a grass-like plant) in the Rocky Mountains.
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Vincent currently works as an Undergrad Research Fellow in the Computations for Advanced Materials and Manufacturing Laboratory (CAMML) under Dr. Zhang. His current research focuses on the application of Physics Informed Neural Networks (PINNs) for modeling solid mechanics problems.
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