Lisa Rivalin
Staff System Engineer, AI Fleet - Sustainability
Meta
Lisa Rivalin is a Systems Engineer on the Hardware Design team at Meta, where she has worked for six years. She applies data and AI methods to hardware engineering challenges.
Currently, Lisa leads efforts to estimate and reduce the carbon footprint of Meta IT hardware inventory, and evaluates new server technologies to propose lower-impact designs.
Previously at Meta, she led a digital twin initiative that combined physics-based modeling and machine learning to optimize data center design and operations.
Before Meta, Lisa was a research scientist at Engie, developing energy performance contracts and smart building technologies, and an affiliate research scientist at Lawrence Berkeley National Laboratory. She holds a PhD in Applied Statistics and Energy from Mines ParisTech, an MSc in Engineering from the University of Poitiers, and an MA in History and Philosophy of Science from Paris Diderot University.
