Ling Jin |
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Research Scientist
Lawrence Berkeley National Laboratory |
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Panelist: Algorithmic Approaches to Equitable Solutions
Ling is a Research Scientist at Lawrence Berkeley National Laboratory and a multidisciplinary expert in air quality modeling, statistics, and resources economics. She strives to advance artificial intelligence and computing applications to the domains of climate/atmospheric science, travel behavior, and electricity market. Her recent projects include identifying pollution control strategies to improve the air quality of California’s disadvantaged communities, modeling travel mode and vehicle ownership dynamics to facilitate emerging technology adoption, and segmenting households with machine learning to improve the cost-effectiveness of demand-response programs in electricity market. Her work has been widely published by AGU, ACS, AAAI, IEEE, and ACM.
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