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.
