C. Braxton Owens

Confidence without doubt is the fastest path to being dangerously wrong. - me

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Currently, I am a PhD student at BYU working in the Biophysics group. I have the privilege of working with wonderful scientists like Grant Jensen, Bryan Morse, and Gus Hart on a daily basis. I love linear algebra and its applications, I live in the terminal with neovim, and my favorite textbook is High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications, which I just call “High-Dim, Low-Dim.”

I am a believer in open collaboration and am grateful for the community of open-source developers who make my life better.

I am currently conducting research in computational cryo-ET, using both classical and deep ML methods to identify low-signal macromolecular complexes in tomograms. This research allows us to achieve the near-atomic scale resolution needed to understand fundamental life processes.

On a more personal note, I love to read fantasy, snowboard, and teach my three sons that it was actually Leibniz, not Newton, who invented calculus.

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Sep 03, 2024 Website created!!

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  1. Describe, Transform, Machine Learning: Feature Engineering for Grain Boundaries and Other Variable-Sized Atom Clusters
    C. Braxton Owens, Nithin Mathew, Tyce W. Olaveson, and 5 more authors
    Jul 2024