Research Scientist, ENGIE Axima/Lawrence Berkeley National Laboratory (LBNL)
Lisa Rivalin is a Research Scientist at ENGIE Axima, a leading French company in Climate Engineering. She is also currently working as an affiliate research scholar at Lawrence Berkeley National Laboratory (LBNL) on energy prediction and management for Smart Buildings. She is working on Model Predictive Control (MPC), which can exploit the historic measurements of a building to predict the future performance and find an optimal control strategy based on these predictions. She received a PhD in Applied Statistics and Building Energy from Paris Sciences et Lettres - PSL Research University (prepared in Mines ParisTech). Her research focused on uncertainty assessment methods associated with the thermal dynamic simulation in the process of design and construction for Energy Performance Contracting. She received an M.S. in Industrial Energy from The National School of Engineering of Poitiers and an M.S. in Philosophy of Science from Paris Diderot University.
