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General Information

Full Name Will Thompson
Date of Birth 3/14/1998
Languages English

Education

  • 2022-Present
    PhD
    University of Vermont
  • 2016-2020
    Bachelor of the Arts, Liberal Arts
    St. John's College, Santa Fe

Experience

  • 2022-Present
    Research Assistant
    Vermont Complex Systems Center
    • Used highly optimized tolerance as a model to quantify inequality in facility placement
    • Applied meta heuristics like simulated annealing and evolutionary algorithms to develop robust facility placements under the threat of natural disasters
  • 2021-2022
    Post-Baccalaureate Researcher
    Los Alamos National Labs, Los Alamos, New Mexico
    • -Constructed a 10-ton liquid argon dark matter detector to search for sub-GeV dark matter -Developed and maintained code bases for critical environmental monitoring and control systems for over 30 devices -Implemented significant upgrades to the data acquisition system, dramatically increasing system stability and allowing for digitization of more 246 channels simultaneously with a throughput of 2GB/min
  • 2020
    Data-Scientist
    MITRE Corporation
    • -Applied complex systems science to solve real world problems and develop deliverables for government sponsors -Co-developed Strategy Mining, an open-source genetic programming framework for agent-based models. -Contributed to three projects and co-authored 2 research papers,
  • 2018
    Undergraduate Research Fellow
    Carnegie Mellon University, Pittsburgh PA
    • -Conceived of and completed research project using natural language processing and machine learning to perform comparative analysis of the structure of philosophical treatises -Developed and implemented novel statistical models to analyze structure of texts through use of random walks -Authored two research papers currently in peer review, listed as first author on one
  • 2017-2018
    Undergraduate Researcher
    Santa Fe Institute, Santa Fe, NM
    • -Conducted independent research, employed natural language processing and machine learning to understand the role of the chorus in Greek tragedy

Open Source Projects

  • 2015
    strategy mining
    • Strategy Mining is a framework, based on Evolutionary Model Discovery (EMD), to evolve and evaluate sets of plausible characteristics and behavior rules that drive the behavior of entities of interest.

Honors and Awards

  • 2020
    • Science Undergraduate Laboratory Internship(SULI) Grant[US Department of Energy]
    • Dean’s Award for College Service[St. John's College]
  • 2018
    • Robert Neidorf Memorial Scholarship for Academic Excellence[St. John's College]
  • 2017
    • Award for Relating Intense Education to Life(ARIEL) Grant 2017

Academic Interests

  • Digital Humanities
    • Using computational techniques to understand the structure of discourse and social systems from greek tragedy to US common law
  • Computational Social Sciences
    • Applying complex systems science to social systems, studying social inequality and facility placement.

Other Interests

  • Hobbies: unicycle riding,reading,baking,camping