Samuel is a botany major at the University of Wyoming. He utilizes machine learning networks to automatically identify and extract different features of leaf fossils.
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As a senior in mechanical engineering at UW, Annalise investigates hydrogen embrittlement in pipeline steel—the seeping of hydrogen atoms into the steel, leading to a loss of ductility and strength in the metal.
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Kaitlyn Schultz is an undergraduate student at the University of Wyoming majoring in both physics and astronomy & astrophysics. For her research, she analyzes stellar ages within bubbles in a nearby galaxy called “The Phantom Galaxy.”
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Kaycee Conder is a senior at the University of Wyoming majoring in both astronomy & astrophysics and physics. Her current research delves into the discovery and characterization of buried star clusters within nearby spiral galaxies.
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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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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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