Dr. Samir Touzani is a Statistician Reaserach Scientist within the Building Technology and Urban Systems Division at Lawrence Berkeley National Laboratory. Dr. Touzani's research interests lie at the intersection of Machine Learning, Statistics and Energy Efficiency. Most of his current work focuses on developing data driven methods to solve energy performance analysis problems. Prior to joining LBNL, Dr. Touzani was a Research Scientist at the French Institute of Petroleum (IFP Energies Nouvelles) where he conducted research in the development of statistical learning and uncertainty quantification methods and tools for oil and gas reservoir engineering applications. He received a Master's degree in Physics from Pierre and Marie Curie University and a Ph.D. in Statistics from Joseph Fourier University.
Statistician Research Scientist/Engineer
Electrochromic Window Demonstration at the 911 Federal Building, 911 Northeast 11th Avenue, Portland, Oregon
Technology Assessments of High Performance Envelope with Optimized Lighting, Solar Control, and Daylighting
Will the Measurement Robots Take Our Jobs? An Update on the State of Automated M&V for Energy Efficiency Programs