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Scott Kirklin is a seasoned researcher and engineer with a strong background in materials science, computational modeling, and programming. He has worked in various industries, including academia, research institutions, and private companies, applying his skills in simulations, data analysis, and software development. With a PhD in Materials Science from Northwestern University and a BS in Applied Physics from Kettering University, Scott has a unique blend of theoretical and practical experience. He has held positions as a PhD candidate, research position, IT intern, model systems engineer, quantitative developer, and member of technical staff, showcasing his versatility and adaptability in different roles and environments.

Experience

  • Anthropic
    • San Francisco Bay Area
    • Member of Technical Staff
      • Jan 2024 - Present
      • San Francisco Bay Area

  • Ghost Locomotion
    • Mountain View, California, United States
    • Model Systems Engineer
      • Apr 2022 - Aug 2023
      • Mountain View, California, United States

    • Quantitative Developer
      • Jul 2014 - Mar 2021
      • Chicago, IL

    • PhD Candidate
      • Sep 2009 - Jul 2014
      • Evanston, IL

      Computational materials science research, with a focus on high-throughput density functional theory calculations. Development of a python framework to create and analyze a massive database of calculations. Used the developed database of thermochemical data for materials screening for applications including electrochemical storage, chemical hydrogen storage and precipitate strengthening.

    • Co-operative Education Research Position
      • Oct 2007 - May 2009

      Design apparatus for measuring hydrogen adsorption on polymeric materials at ambient and cryogenic temperatures, at pressures up to 100 atm. Developed measurement standards and procedures, as well as automation software for this device.

    • IT Intern
      • Oct 2005 - Mar 2007

      Documented current processes for hospital departments-Selected and measured metrics to measure gains due to Electronic Medical Record (EMR) implementation-Tested functionality of revenue cycle software, and assisted in the training of staff in its use

Education

  • 2009 - 2014
    Northwestern University
    Doctor of Philosophy (PhD), Materials Science
  • 2005 - 2009
    Kettering University
    Bachelor of Science (BS), Applied Physics

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Industry Focus. “Computer Software”

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