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Me

As a postdoc research associate at the Scientific Computing and Imaging (SCI) Institute under Dr. Chris Johnson, my work focuses on developing innovative visualization methods for scientific data, such as ensembles of computational fluid dynamics, medical imaging, and biomedical simulations.

I received my Ph.D. from the University of Arizona, advised by Dr. Joshua Levine, where my dissertation studied deep learning approaches for exploring collections of visual features of scalar fields.

My research interests include visualization, uncertainty analysis, machine learning, and computational topology related to scientific data analysis. My broader goal is to help scientists to compute, analyze, and communicate their findings.

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Publications

Joke

• Q: How many prolog programmers does it take to change a lightbulb?
• A: Yes.

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Joke1

• I am going to tell you a UDP joke, but you may not get it. So I decide to tell you a TCP joke. abcdefghijklmnopqRST

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Meow

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