Ling Jin

Ling Jin

Energy/Environmental Policy Research Scientist/Engineer
(510) 495-2177

Bio

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. 

Awards

Spot: Team Workforce Development -  August 18th 2021

For contributions to the Lab's Workforce Development & Education programs in Spring and/or Summer of 2021, and for supporting research experiences for undergraduates, teachers, and faculty collaborators.

Vince Battaglia profile page

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Lalit Pant profile page

Anand Krishnan Prakash profile page

Corinne Scown profile page

Sarah Smith profile page

C. Anna Spurlock profile page

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Publications

2022

2021

2020

2019

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2008