Session: AI and energy systems at scale: Can machines give us a brighter, more equitable future?

At Stanford University, Margot Gerritsen is a professor of energy resources engineering; senior associate dean for educational affairs in the School of Earth, Energy & Environmental Sciences ; and a senior fellow at the Precourt Institute for Energy. Margo is also the co-director of Stanford’s Women in Data Science Worldwide Initiative, host of the Women in Data Science podcasts and associate director of the Stanford Data Science program. From 2010 to 2018, she directed Stanford’s Institute for Computational & Mathematical Engineering.

Margot was born and raised in the Netherlands. After receiving her master’s degree in applied mathematics at the University of Delft, she moved to the United States in search of hillier and sunnier places. In 1996, Margo earned a Ph.D. in scientific computing and computational mathematics at Stanford. Before returning to Stanford in 2001, she was a faculty member in the Department of Engineering Science at the University of Auckland for almost five years.

Margot’s primary research interests are in sustainability, and renewable and fossil energy production. She uses computer simulation and mathematical analysis of engineering and natural processes. She is also active in coastal ocean dynamics and yacht design, as well as several areas in computational mathematics including search algorithm design and matrix computations. Her latest research projects include traffic congestion and emissions simulation and mitigation, and wildland fire prediction and mitigation.