Ling Jin has multidisciplinary training in air quality engineering, statistics, and resources economics. She develops and applies diagnostic and sensitivity analysis tools in photochemical transport modeling systems to identify effective pollution control strategies. She also strives to bring state-of-the-art data science (statistical, machine learning, and econometric techniques) to the domains of climate/atmospheric science, electricity market, and transportation. She has led projects on air quality modeling, spatial pattern and time series mining, social sequence analysis, with work published by AGU, ACS, Atmospheric Environment, AAAI, IEEE, and ACM. She is currently a Research Scientist and holds a PhD in Energy and Resources, a MA in Statistics, both from UC Berkeley, and a BS in Physical Geography from Peking University.
"Trade and the governance of ecosystem services." Ecological Economics 66.4 (2008) 638 - 652. .
"A Process-Analysis Based Study of the Ozone Weekend Effect." Atmospheric Environment 42.33 (2008) 7728-7736. .
"Sensitivity Analysis of Ozone Formation and Transport for a Central California Air Pollution Episode." Environmental Science & Technology 42.10 (2008) 3683-3689. .