Yuting Chen is a Staff Data Scientist in the Energy Efficiency Standards and Buildings and Industrial Applications Departments at Lawrence Berkeley National Laboratory. Yuting's research focuses on data-driven modeling of emerging technological approaches that can support the more efficient and flexible use of energy. Yuting leads several analysis and data collection efforts supporting the U.S. Department of Energy's Appliance Standards program.
Yuting's work also has touched on emerging technologies across a range of sectors. She conducts research and analysis into the potential for reducing energy consumption of U.S. commercial and industrial motor system market and proposes frameworks as decision-making tools to evaluate potential impact of water conservation programs for U.S. Environmental Protection Agency.
Yuting holds a Ph.D. in applied mathematics from Ecole Centrale Paris, France, and a M.S. in biostatistics, bioinformatics and modeling from INSA de Lyon, France.
Spot: Yuting Chen - October 25th 2021
For outstanding analytical contributions on the Dedicated-Purpose Pool Pump Motor ECS project (Notice of Proposed Rule Phase, 2021)
Spot: Yuting Chen - May 3rd 2021
Outstanding work during urgent work situations