Ling Jin

Ling Jin
Principal Scientific Engineering Associate
(510) 495-2177

Ling Jin obtained PhD/MS in the Energy and Resources Group and a MA degree in Statistics from UC Berkeley. Her research interests are photochemical modeling of gaseous and particulate pollutants, atmospheric sensitivity analysis, air pollution management for protection of public health, aerosol-cloud interactions and impacts on hydrological cycle, and application of statistical, machine learning, and econometric techniques to environmental and socioeconomic data.

Publications

Lazar, Alina, Ling Jin, C. Anna Spurlock, Annika Todd, Kesheng Wu, and Alex Sim. "Data quality challenges with missing values and mixed types in joint sequence analysis." 2017 IEEE International Conference on Big Data (Big Data)2017 IEEE International Conference on Big Data (Big Data). Boston, MA, USA: IEEE, 2017.
Breunig, Hanna, Ling Jin, Alastair Robinson, and Corinne Scown. "Bioenergy Potential from Food Waste in California." Environmental Science & Technology (2017). LBNL-1007105.
Jin, Ling, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, and Annika Todd. "Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data." AAAI Workshops - Artificial Intelligence for Smart Grids and Buildings, March 2017. San Francisco, CA , 2017.

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