Women in Data Science (WiDS)
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Margot Gerritsen

Professor of Energy Resources Engineering and WiDS Co-Director Stanford University
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Panel Moderator
Margot was born and raised in the Netherlands. After receiving her MS degree in Applied Mathematics at the University of Delft, she moved to the U.S. in search of hillier and sunnier places. In 1996 Margot received her Ph.D. in Scientific Computing and Computational Mathematics at Stanford University. Before returning to Stanford in 2001, she spent nearly five years in Auckland, New Zealand as a faculty member in the Department of Engineering Science.

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Margot is a professor in the Department of Energy Resources Engineering at Stanford, interested in computer simulation and mathematical analysis of engineering processes. From 2010 to 2018, she directed the Institute for Computational and Mathematical Engineering.
She was the Senior Associate Dean for Educational Affairs in the School of Earth, Energy & Environmental Sciences at Stanford from 2015 to 2020. Margot is the co-founder of Women in Data Science, and is still co-director. Margot is also the Chair of the Board of the international Society for Industrial and Applied Mathematics.

Margot is the host of the WiDS Podcast series, where she interviews women from around the world and across the data science field, speaking about their work, their journeys, and lessons learned along the way.
Join us at WiDS Worldwide! 
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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