Lisa Rivalin

Lisa Rivalin is a Research Scientist for IDC’s physical modeling team at Meta, a team focusing on modeling to bridge the gap between the physical and digital world. Her current projects include data center modeling from chip to region, leveraging physics-based models and machine learning to optimize data center designs and operations and help Meta reach its sustainability goals.

Before joining IDC, Lisa was a Lead Research Scientist and Project Manager at Engie, a leading energy services and sustainability company in Europe. There, she focused on creating new energy performance contracts using innovative statistical methods and implementing smart building technologies. Lisa also served as an Affiliate Research Scientist at Lawrence Berkeley National Lab, renowned for its contributions to energy and environmental research, where she worked on predictive modeling for the built environment.

Lisa holds a PhD in Applied Statistics and Energy from Mines ParisTech. Additionally, she has a Master of Science in Engineering from the University of Poitiers and a Master of Arts in History and Philosophy of Science from Paris Diderot University.