TWIMLfest 2020


Photo: Kalai Ramea

Kalai Ramea

Research Scientist
Palo Alto Research Center
Connect with Kalai

Kalai Ramea focuses on developing quantitative models for climate and energy systems. Her research interests include applied machine learning and deep learning, exploration of novel statistical modeling techniques, and big data analytics. Prior to PARC, Kalai worked as a researcher at University of California, Davis, where she developed several numerical models in the domains of energy, transportation and climate, in order to assess long-term policy impacts of energy-efficient technologies. Kalai was also a research fellow at International Institute for Applied Systems Analysis in Austria, where she developed an energy systems model that incorporated human behavior to analyze long-term climate impacts for North America.

Conference Sessions

AI and Society
TWIMLfest  2020
This panel will focus on the latest developments in the fight to slow climate change with an emphasis on the application of AI and ML, the implications of energy policy on deep learning and how GANs can help visualize climate change and it's impact, as well as high impact opportunities to get involved.