Assistant Professor at Vanderbilt University Medical Center
Nashville-Davidson, Tennessee, United States
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Summary
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David Smith is an Assistant Professor and computational scientist who combines 13 years of experience translating mathematics, physics, and computer science into medical innovations, with deep expertise in imaging science, radiation physics, machine learning, and high-performance computing. Based at Vanderbilt University Medical Center, he applies astrophysics-honed quantitative methods and large-scale simulation skills to clinical problems and medical imaging research. An active contributor to the Julia core, he has improved language functionality and documentation—bringing low-level performance and reproducibility benefits to scientific computing stacks. He holds a PhD in Astrophysics from UT Austin and an AM from Harvard, a background that fuels interdisciplinary approaches to big data, AI, and computational medicine. Colleagues rely on him to bridge rigorous theory, scalable code, and practical deployment in high-performance environments.
13 years of coding experience
PhD, Astrophysics, PhD, Astrophysics at The University of Texas at Austin
Commerce High School
AM, Astronomy, AM, Astronomy at Harvard University
Contributions:15 commits, 4 PRs, 10 comments in 1 year 1 month
Contributions summary:David primarily contributed to the Julia programming language core, addressing bug fixes, and adding features. Their work includes implementing elementwise bitshift operators, modifying the random number generator initialization, and altering the help and documentation systems. These changes demonstrate the user's involvement in enhancing the language's functionality and improving user experience through documentation and error handling.
Steganography methods for embedding text into the least significant bits of arbitrary data
Contributions:2 releases, 25 commits, 1 PR in 2 years 4 months
pythontext-embeddingarbitrarybitsarbitrary-data
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David Smith - Assistant Professor at Vanderbilt University Medical Center