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.
"Strategies to reduce PM2.5 and O3 together during late summer and early fall in San Joaquin Valley, California." Atmospheric Research (2021) 105633. .
"A methodology to develop a geospatial transportation typology." Journal of Transport Geography 93 (2021) 103061. .
"Correlation networks of air particulate matter (PM2.5): a comparative study." Applied Network Science 6.1 (2021). .
"Winners are not keepers: Characterizing household engagement, gains, and energy patterns in demand response using machine learning in the United States." Energy Research & Social Science 70 (2020). .
"Life-Cycle Greenhouse Gas Emissions and Human Health Trade-Offs of Organic Waste Management StrategiesLife-Cycle Greenhouse Gas Emissions and Human Health Trade-Offs of Organic Waste Management Strategies." Environmental Science & Technology 54.15 (2020) 9200 - 9209. .
"Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use." 2019 IEEE International Conference on Big Data (Big Data)2019 IEEE International Conference on Big Data (Big Data). Los Angeles, CA, USA: IEEE, 2019. .
"Spillover as a cause of bias in baseline evaluation methods for demand response programs." Applied Energy 250 (2019) 344 - 357. .
"Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization." Journal of Data and Information Quality 11.2 (2019) 1 - 22. .
"Describing the users: Understanding adoption of and interest in shared, electrified, and automated transportation in the San Francisco Bay Area." Transportation Research Part D: Transport and Environment 71 (2019) 283-301. .
"Accelerating the Deployment of Anaerobic Digestion to Meet Zero Waste Goals." Environmental Science & Technology 52.23 (2018) 13663–13669. .
"Dynamic Geospatial Modeling of the Building Stock To Project Urban Energy Demand." Environmental Science & Technology 52.14 (2018) 7604 - 7613. .
"Temporal and geographic drivers of biomass residues in California." Resources, Conservation and Recycling 139 (2018) 287 - 297. .
"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. .
"Modeling the climate impacts of deploying solar reflective cool pavements in California cities." Journal of Geophysical Research: Atmospheres 122.13 (2017) 6798 - 6817. .
"Bioenergy Potential from Food Waste in California." Environmental Science & Technology (2017). LBNL-1007105. .
"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. .
"Go for the Silver? Evidence from field studies quantifying the difference in evaluation results between “gold standard” randomized controlled trial methods versus quasi-experimental methods." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016. .
"Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heter ogeneity in Pricing Programs." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016. .
"Evaluating clouds, aerosols, and their interactions in three global climate models using satellite simulators and observations." Journal of Geophysical Research: Atmospheres 119.18 (2014) 10,876-10,901. .
"Role of meteorological processes in ozone responses to emission controls in California's San Joaquin Valley." Journal of Geophysical Research: Atmospheres 118.14 (2013) 8010 - 8022. .
"Comparison of SAPRC99 and SAPRC07 mechanisms in photochemical modeling for central California." Atmospheric Environment 46 (2012) 205 - 216. .