Julianna Schneider

Undergraduate Teaching Assistant for 8.02 (Electromagnetism) at MIT Department of Physics
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US
Languages
  • English Native or bilingual proficiency
  • Albanian Native or bilingual proficiency
  • Spanish Limited working proficiency

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Bio

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Credentials

  • Citadel Summer Invitational Datathon 2023
    Correlation One
    Aug, 2023
    - Nov, 2024

Experience

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Undergraduate Teaching Assistant for 8.02 (Electromagnetism)
      • Sep 2023 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher at MIT's Biomimetic Robotics Lab
      • Jan 2023 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Researcher at the UNR Robotics Research Lab
      • Dec 2020 - Present

    • Software Development
    • Founder, CEO, Senior iOS Developer
      • Jan 2020 - Present

    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Flight Controls and Autonomous Systems Intern
      • Jun 2023 - Aug 2023

    • United States
    • Higher Education
    • 300 - 400 Employee
    • Undergraduate Researcher at MIT CSAIL's HCIE Group
      • Sep 2022 - Dec 2022

    • United States
    • Aviation and Aerospace Component Manufacturing
    • 700 & Above Employee
    • NASA STEM Enhancement in the Earth Science Peer Mentor
      • May 2022 - Dec 2022

    • United States
    • Education
    • 1 - 100 Employee
    • Teaching Assistant for Single and Multivariable Calculus
      • Aug 2021 - May 2022

    • United States
    • Aviation and Aerospace Component Manufacturing
    • 700 & Above Employee
    • Research Intern at the NASA STEM Enhancement in the Earth Sciences Program
      • Jun 2021 - Dec 2021

      Led a team of five NASA interns to develop a research project that compares four machine learning models abilities to predict the derivatives of mosquito abundance and West Nile Virus vector competence. Our abstract and poster have been published in the American Geophysical Union's Fall Session 2021. As first author, I presented our research on the 16th of December at the American Geophysical Union’s Fall Session 2021. Led a team of five NASA interns to develop a research project that compares four machine learning models abilities to predict the derivatives of mosquito abundance and West Nile Virus vector competence. Our abstract and poster have been published in the American Geophysical Union's Fall Session 2021. As first author, I presented our research on the 16th of December at the American Geophysical Union’s Fall Session 2021.

Education

  • Massachusetts Institute of Technology
    Bachelor of Science - BS, Artificial Intelligence & Decision Making
    2022 - 2026
  • The Davidson Academy
    High School | GPA: 4.0000/4.0000
    2020 - 2022
  • University of Nevada, Reno
    Dual-Enrollment | GPA: 4.000/4.000, Dual-Enrolled
    2020 - 2022

Community

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