Megan Prakash

Learning Facilitator at MIT xPRO
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, Massachusetts, United States, US
Languages
  • English -

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Bio

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Credentials

  • Social and Behavioral Research Investigators
    CITI Program, A Division of BRANY
    Feb, 2021
    - Nov, 2024

Experience

    • United States
    • E-Learning Providers
    • 1 - 100 Employee
    • Learning Facilitator
      • Dec 2021 - Present

      Instructor for the MIT xPRO Virtual and Augmented Reality course, an online professional development course with a broad audience that includes designers, engineers, professors, artists, and other professionals worldwide. Conducted live sessions to teach about the technology, design process, and sociology of XR, including Augmented Reality, Virtual Reality, and other emerging technologies. https://executive-ed.xpro.mit.edu/virtual-reality-augmented-reality Instructor for the MIT xPRO Virtual and Augmented Reality course, an online professional development course with a broad audience that includes designers, engineers, professors, artists, and other professionals worldwide. Conducted live sessions to teach about the technology, design process, and sociology of XR, including Augmented Reality, Virtual Reality, and other emerging technologies. https://executive-ed.xpro.mit.edu/virtual-reality-augmented-reality

    • United States
    • Higher Education
    • 300 - 400 Employee
    • Graduate Research Assistant
      • Jun 2020 - Present

      Research Assistant at the Imagination, Computation, and Expression Laboratory, researching virtuality for museum environments. I use sociological and behavioral research frameworks to create novel virtual experiences that can communicate empathy, analyze culture, and stimulate curiosity. Topics of interest: immersive experiences, emerging technology, education, HCI, prosocial impact, storytelling, journalism, museum settings Research Assistant at the Imagination, Computation, and Expression Laboratory, researching virtuality for museum environments. I use sociological and behavioral research frameworks to create novel virtual experiences that can communicate empathy, analyze culture, and stimulate curiosity. Topics of interest: immersive experiences, emerging technology, education, HCI, prosocial impact, storytelling, journalism, museum settings

    • Platform Infrastructure Software Engineer II
      • Jun 2019 - Oct 2019

      Developing large-scale distributed systems (performant, resilient, and scalable to 1 million client machines) for platform security, including key management and intrusion detection.

    • Platform Infrastructure Engineer
      • Feb 2018 - Jun 2019

    • United States
    • Software Development
    • 700 & Above Employee
    • Security Software Engineer - Intern
      • May 2017 - Aug 2017

    • United States
    • Financial Services
    • 100 - 200 Employee
    • Performance Optimization Software Engineer - Extern
      • Jan 2017 - Feb 2017

      Research in performance optimization for trading Research in performance optimization for trading

    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Software Intern
      • May 2016 - Aug 2016

      C++ development C++ development

    • United States
    • Higher Education
    • 700 & Above Employee
    • Researcher
      • Jun 2015 - Sep 2015

      Member of the Dark Matter Time Projection Chamber (DMTPC) Group. Implemented features for the CCD cameras using C++; conducted analysis of noise and artifacts of the CCD cameras using shell scripts, C++, and ROOT (a C++ data analysis framework). Member of the Dark Matter Time Projection Chamber (DMTPC) Group. Implemented features for the CCD cameras using C++; conducted analysis of noise and artifacts of the CCD cameras using shell scripts, C++, and ROOT (a C++ data analysis framework).

    • Researcher
      • Dec 2014 - Feb 2015

      Worked on "GelSight," a high-resolution surface topography sensor for use as a robot fingertip. Investigated creation of software for a new sensor using Python, C++, and Raspberry Pi hardware. Worked on "GelSight," a high-resolution surface topography sensor for use as a robot fingertip. Investigated creation of software for a new sensor using Python, C++, and Raspberry Pi hardware.

Education

  • Massachusetts Institute of Technology
    Master of Engineering - MEng, Computer Science and Engineering
    2021 - 2023
  • Massachusetts Institute of Technology
    Bachelor of Science (B.S.), Computer Science and Engineering
    2014 - 2018

Community

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