Distinguished Member Of Technical Staff at Sandia National Laboratories
Edgewood, New Mexico, United States
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Summary
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Senior
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Derek Tucker is a Distinguished Member of Technical Staff at Sandia National Laboratories with 13 years of experience at the intersection of statistical signal processing, computational vision, and functional data analysis. He holds a Ph.D. in Statistics and an MS/BS in Electrical Engineering, and has applied theoretical tools like the Fisher–Rao metric to practical problems including underwater acoustic classification, battlefield target recognition, and medical and remote-sensing imagery. Derek has a strong track record translating advanced math into deployable systems—authoring alignment and warping methods that produce proper distances for covariance, PCA, and classification of functional data. His background includes building HMM-based transient detectors on embedded platforms and contributing build/automation expertise to the conda-forge ecosystem for cross-platform R package packaging. As an adjunct professor he bridges research and mentorship while leading R&D efforts at a national lab, and he’s known for tackling compositional noise and alignment challenges that standard techniques overlook.
13 years of coding experience
15 years of employment as a software developer
Ph.D., Statistics, 3.97, Ph.D., Statistics, 3.97 at Florida State University
M.S, Electrical Engineering, 3.9, M.S, Electrical Engineering, 3.9 at Colorado State University
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
Automation Engineer / Build & Release Engineer
Contributions:2 reviews, 4 commits, 11 PRs in 1 day
Contributions summary:Derek's contributions center around building and modifying recipes for the conda-forge ecosystem. They primarily focus on creating and updating build scripts (`build.sh` and `bld.bat`) for R packages, likely to ensure compatibility and successful builds across different platforms. This includes adjusting build configurations, managing dependencies, and addressing potential build issues related to openMP and platform-specific libraries, facilitating the creation of conda packages. The user demonstrates an understanding of the conda-forge build process and environment setup for R packages.
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