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Sita Syal

Ph.D. Candidate in Mechanical Engineering
Stanford University
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Sita Syal is a PhD student in mechanical engineering and design at Stanford. Her research focuses on quantitatively modeling the uncertainty of humans in renewable energy systems. She is interested in how human uncertainty can be mathematically modeled and how that uncertainty influences engineering design outcomes of large solar and wind projects. Sita is a National Science Foundation Graduate Fellow. Sita grew up in Michigan and completed a B.S.E. in chemical engineering and an M.Eng in energy systems engineering, both from the University of Michigan, Ann Arbor. She was awarded a Morris K. Udall scholarship in 2012 for her work in sustainability and clean energy.
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© 2021 Women in data science

  • Conference
    • Schedule 2021 >
      • Main Stage
      • Workshops
      • Meet the Speakers
      • Best of WiDS
    • Speakers 2021
    • Regional Events 2021 >
      • March 8th Regional Events
    • Ambassadors 2021
    • Videos >
      • Videos 2021
    • Sponsors
    • Collaborators
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Workshops 2021
    • Datathon Resources
    • Excellence in Research Award
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    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
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    • Education Outreach Committee
    • Education Outreach Student Advisors
  • Blog
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