Bio
Elias joined the Oak Ridge National Laboratory (ORNL) in August 2022. He is a research scientist in the Computational Earth Science Group in the Computational Sciences and Engineering Division. His research focuses on fusing model simulations with streams of observed data to generate more accurate and more efficient predictions of various components on the Earth system. Elias will be involved with the RUBISCO project, in efforts to utilize artificial intelligence (AI)/machine learning (ML) methods for the investigation and simulation of different Earth system processes, to improve predictions associated with the integrative water and carbon cycles and their extremes. Elias will also be involved with the second generation Earth System Grid Federation project (ESGF2). Elias also contributes to the National Climate Assessment (NCA) by developing model weights to constrain projections of future climate used to assess impacts of climate change in the United States. Elias previously held positions at UC Berkeley and the Jet Propulsion Laboratory, and received his degrees from UC Irvine ('17) and UCLA ('11, '12).