I am a research scientist on the Physical Modeling team. Our role is to create an inter-disciplinary capability for the company, connecting the physical and digital world to solve challenging and impactful problems at Meta. Our current projects include topics such as data center optimization, mapping, and sustainability, leveraging physics-based models and novel technologies in computer vision and machine learning.
Prior to joining Meta, I was a researcher at Engie and Lawrence Berkeley Laboratory focusing on predictive modeling for the built environment. Before that, I obtained my PhD at Mines ParisTech in Applied Statistics and Energy. I have a Master of Science in Engineering and a Master of Arts in History and Philosophy of Science.
Applied AI, Machine Learning, Physics-Based Modeling, Infrastructure