cv

General Information

Full Name Scott Perkins

Education

  • 2022
    PhD
    University of Illinois Urbana-Champaign, Champaign, IL
    • Physics
    • Advisor - Nicolas Yunes
    • Thesis - ``Tests of Fundamental Physics with Gravitational Waves; Theory and Application''
      • Utilized gravitational wave data to infer information about fundamental physics, focused on the fundamental nature of the gravitational interaction.
  • 2019
    M.Sc.
    Montana State University, Bozeman, MT
    • Physics
  • 2017
    B.S.
    Texas A&M University, College Station, TX
    • Physics, minors in Mathematics and Astrophysics

Experience

  • 2022 -
    Postdoctoral Researcher
    Lawrence Livermore National Laboratory, Livermore CA
    • Explored possible explanations of dark matter, specifically focused on primordial black holes.
  • 2019 - 2022
    Graduate Research and Teaching Assistant
    University of Illinois Urbana-Champaign, Champaign IL
    • Taught Senior Physics Laboratory (Undergraduate) and General Relativity I (Graduate)
  • 2017-2019
    Graduate Research and Teaching Assistant
    Montana State University, Bozeman MT
    • Taught Calculus-based Classical Mechanics (Undergraduate), Modern Physics (Undergraduate) and Solar System Astronomy (Undergraduate)
  • 2015-2017
    Undergraduate Research Assistant
    Texas A&M University, College Station TX

Honors and Awards

  • 2021
    • CAPS Graduate Fellowship (CAPS)
    • Scott Anderson Award (UIUC)
  • 2019
    • Graduate Research Fellowship (UIUC)
  • 2017
    • Graduate Meritorious Award (MSU)
    • Faculty's Student Achievement Award (TAMU)
    • Randall C. Shepard Award in Astrophysics (TAMU)
  • 2013
    • President's Endowed Scholarship (TAMU)
    • Rose Lafferty Scholarship (St. Andrew's Episcopal Church)
    • National Merit Finalist (TAMU)
    • Eagle Scout (Boy Scouts of America)

Academic Interests

  • Astrophysics
    • Transient astrophysics
    • Gravitational wave astrophysics
  • Data Science
    • Inference problems
    • Optimization problems
    • Uncertainty quantification