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Sarah Newman

Sarah Newman

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352

Biography

Dr. Newman is a data scientist in the buildings and connected systems group. She works on applying data analysis and machine learning techniques to improving the energy efficiency and resiliency of buildings. Her projects include developing a web app to quantify the impacts of efficiency and generation projects on the electricity grid, creating tools to design microgrids for resiliency, deployment of machine learning techniques on real-time building systems data to improve efficiency and operations, and analysis of fault prevalence in commercial buildings.

Before joining PNNL in 2018, Sarah received her PhD in Astrophysics from UC Berkeley in 2013, and then transitioned to energy research, developing machine learning models to improve efficiency and comfort in multifamily buildings, and analyzing retrofit opportunities and impacts for NYC's building stock.

Research Interests

  • Building energy data analysis
  • Energy resiliency and microgrids
  • Applying Machine Learning to sustainability projects

Education and Credentials

  • PhD, Astrophysics, UC Berkeley
  • B.S., Earth, Atmospheric, and Planetary Sciences, MIT

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206/528-3330