Derek Everett
Senior Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolDerek Everett is a Senior Data Scientist with eight years of experience blending physics-driven research and production ML engineering, now building scalable data and robustness solutions at AWS. He holds a PhD in Physics and has a track record of translating complex scientific software (C++, CUDA, JAX) and HPC workflows into practical machine learning surrogates and production-ready systems. At Booz Allen he advanced adversarial ML and cybersecurity tooling—creating a novel LSH variant, high-throughput C++ classifiers, and PyTorch optimizers that improved efficiency and detection performance at scale. His work spans quantum control, radio-signal classification, and large-scale document vectorization, showing an unusual ability to connect domain physics, ML, and systems engineering. Colleagues rely on him for reproducible CI-driven research pipelines and mentoring junior engineers through challenging, multidisciplinary projects.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Wayne State UniversityErdos Institute Data Science CohortDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The Ohio State University
Github Skills (36)
surface8
sampling8
simulation8
simulator8
spectra8
modular7
particle7
decomposition7
bayesian6
smooth6
python6
nuclear-physics6
numerical-integration6
camp6
hydrodynamics5
Programming languages (4)
Github contributions (5)
derekeverett/HIC_experimental_data
Aug 2019 - Feb 2021
Contributions:3 commits, 24 pushes, 1 branch in 1 year 5 months
derekeverett/cpu-vh
Aug 2017 - Apr 2020
A viscous hydrodynamic code for the description of ultrarelativistic heavy ion collisions. Accelerated via OpenMP.
Contributions:7 PRs, 121 pushes, 8 branches in 2 years 7 months
collisionsacceleratedsimulationionheavy-ion-collisions
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