Qi Li is an accomplished data scientist and building scientist with extensive experience in energy simulation, uncertainty quantification, and machine learning applications in the building sector. Notable roles include postdoctoral researcher at Argonne National Laboratory, where a framework for validating energy simulation models was proposed, and data scientist positions at Siemens and Meta, focusing on building data algorithms and integrity ecosystem analytics. Educational background includes a Ph.D. in Architectural and Building Sciences/Technology from Georgia Institute of Technology, along with a Master's in Statistics and a Bachelor's in Architectural Engineering from Tsinghua University. Qi Li has demonstrated expertise in computational modeling, sensitivity analysis, and developing innovative solutions for optimizing building energy performance.
This person is not in the org chart
This person is not in any teams
This person is not in any offices