Olivia Siegel

Graduate Researcher at MIT EECS
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US
Languages
  • English Native or bilingual proficiency
  • Spanish Professional working proficiency

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Experience

  • MIT EECS
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Graduate Researcher
      • Jan 2022 - Present

      Algorithmic Alignment Group Algorithmic Alignment Group

  • Microsoft
    • United States
    • Software Development
    • 700 & Above Employee
    • Program Manager
      • Jun 2021 - Aug 2021

      • Analyzed multi-factor authentication data using SQL for decision making in the full product life cycle • Evaluated technical tradeoffs of decisions by understanding technical specifications • Communicated with multiple clients to maximize customer satisfaction by putting the customer first • Analyzed multi-factor authentication data using SQL for decision making in the full product life cycle • Evaluated technical tradeoffs of decisions by understanding technical specifications • Communicated with multiple clients to maximize customer satisfaction by putting the customer first

  • ICON
    • United States
    • Construction
    • 200 - 300 Employee
    • Robotics Engineer
      • Jan 2020 - Feb 2020

      • Formulated a sensor design strategy for measuring flow rate for a future R&D project • Increased system feedback efficiency by implementing a linear regression on a PLC • Formulated a sensor design strategy for measuring flow rate for a future R&D project • Increased system feedback efficiency by implementing a linear regression on a PLC

  • MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
    • United States
    • Higher Education
    • 300 - 400 Employee
    • Robotics Engineer
      • Jun 2018 - Nov 2019

      • Designed, fabricated, and synthesized novel soft robotic sensors for manipulation applications, including automating invasive surgeries • Collected and analyzed stress-strain and resistance data for optimal sensor design patterns, increasing more flexible robotic usages • One of twenty Johnson & Johnson UROP Scholars; culminated in a poster presentation to experienced industry mentors • Collaborated with Dr. Ryan Truby and Professor Daniela Rus, Director of the Computer Science and Artificial Intelligence Laboratory Show less

Education

  • Massachusetts Institute of Technology
    Master of Engineering - MEng, Artificial Intelligence
    2021 -
  • Massachusetts Institute of Technology
    Bachelor of Science - BS, Computer Science
    2016 - 2020
  • Brookline High School
    2012 - 2016

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