Scott Perkins
Research Scientist at Lawrence Livermore National Laboratory
Oakland, California, United States
Summary
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Senior🎓
Top SchoolScott Perkins is a research scientist at Lawrence Livermore National Laboratory, applying rigorous data science to astrophysical problems such as microlensing and gravitational-wave signal analysis. With a PhD in Physics from UIUC and prior research roles at MSU, UIUC, and Texas A&M, he specializes in probabilistic modeling, Bayesian inference, and uncertainty quantification to extract meaningful insights from noisy data. His technical toolkit spans Python, C/C++, and Mathematica, and he builds robust, interpretable solutions for large-scale data analysis and forecasting. He translates complex signals into actionable knowledge by combining deep academic training with hands-on simulation and statistical computing to address real-world challenges. Based in Oakland, California, Scott continues to push the boundaries of data science in high-stakes environments, bridging fundamental physics with practical data-driven decision making.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Physics, Master of Science - MS, Physics at Montana State University-BozemanBachelor's degree, Physics, Bachelor's degree, Physics at Texas A&M UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Illinois Urbana-ChampaignProgramming languages (3)
Github contributions (5)
scottperkins/scottperkins.github.io
Jan 2020 - Nov 2024
Personal website
Contributions:2 PRs, 95 pushes, 5 branches in 4 years 11 months
reactnextjs
bayescollab/gw_analysis_tools
Feb 2019 - Nov 2024
A suite of tools useful for doing statistical studies on gravitational wave science, including routines useful in MCMC studies, wave template generation, Fisher analysis, etc. Written in C++ and wrapped in Cython for access in Python.
Contributions:1 review, 1 PR, 61 pushes in 5 years 9 months
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