Logan Moody is a PhD candidate in Computer Science at the University of Virginia with eight years of experience focused on floating-point arithmetic and computer architecture. He has applied his research to practical problems through internships at Intel and AMD, exploring front-end CPU performance optimizations and future architecture designs. His prior work at Lawrence Livermore and as an undergraduate researcher produced tools for mixed-precision program generation and visualizations of floating-point error, underscoring a blend of systems thinking and tooling. Based in Reston, VA, he combines academic rigor with hands-on prototyping of accelerators and cache/power tradeoffs. Currently seeking continuation at a fully funded graduate program, he brings both industry experience and a demonstrated ability to translate numerical research into implementable hardware/software ideas.
8 years of coding experience
2 years of employment as a software developer
International Baccalaureate, International Baccalaureate at South Lakes High School
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at James Madison University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
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