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Sita Syal

Ph.D. Candidate in Mechanical Engineering
Stanford University
Picture
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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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee