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Skills

Python, SQL (MySQL), R, C/C++, JavaScript, HTML, CSS, Fortran, Mathematica, MATLAB, Microsoft Excel, AWS, Git, GitHub, RStudio, Docker, Linux/Unix, Bash, Machine Learning, Deep Learning, Data Analysis, Data Visualization, Statistics, Hypothesis Testing


Relevant Experience

Graduate Research Assistant
Duke University / Durham, NC / 2018-present

  • Analyzed large datasets from particle physics experiments using C++ and Python for use in theoretical modeling
  • Managed the publicly-available codebases on GitHub for 4 research projects, encouraging transparency and reproducibility
  • Derived over 30 new mathematical functions to explain data from particle colliders
  • Collaborated with interdisciplinary teams to translate complex scientific concepts into accessible presentations, communicating the implications and applications of research findings at national and international meetings
  • Published 4 papers in top-ranked academic journals, playing a key role in research, writing, and presentation
  • Developed a new model to predict the lifetime of a newly discovered particle with 98% accuracy; earned the Goshaw Family Endowment in recognition of this work


Undergraduate Research Assistant
Georgia Southern University / Statesboro, GA / 2015-2018

  • Developed programs in Fortran and Mathematica for mathematical modeling of materials to better understand how they interact with light
  • Used iterative testing and optimization techniques to identify a new design for a micrometer-sized material with near-invisibility when exposed to light
  • Published 2 research papers in peer-reviewed journals
  • Delivered detailed presentations of research findings at conferences to enhance the visibility of the research and foster collaborative opportunities


Blue Waters Petascale Computing Intern
Shodor Education Foundation / 2016-2017

  • Developed Fortran programs for modeling of the electromagnetic properties of small objects that had over 300 times faster runtimes than existing code
  • Transitioned the computation in my undergraduate research to utilize parallelization on GPUs


Education

Ph.D. in Physics
Duke University

B.S. in Physics, summa cum laude
Minor: Mathematics
Georgia Southern University