Dr. Jeffery Greenblatt’s research focuses on two complementary areas: large-scale, multi-sector, multi-decadal modeling of greenhouse gas reduction strategies at the local, state or national level, and more fine-grained analysis of specific emerging technologies that hold promise for reducing greenhouse gas emissions while enhancing convenience, safety or human potential. On the former topic, he has been involved with modeling pathways of California's low-carbon energy future since 2009, and more recently U.S. climate policy, publishing a number of studies including high-impact peer-reviewed papers in Energy Policy and Nature Climate Change. In emerging technologies, he has mainly used life-cycle analysis as a tool for holistically assessing benefits and costs of new technologies, focusing on topics including artificial photosynthesis, water desalination and autonomous vehicles. For the latter topic, he published a study in Nature Climate Change in 2015 on the greenhouse gas benefits of autonomous taxis.
Dr. Greenblatt has 15 years of experience in climate change and low-carbon energy technology assessment and modeling. Prior to joining LBNL in 2009, Dr. Greenblatt worked at Google on the RE<C initiative ("Renewable Electricity Cheaper than Coal"), at Environmental Defense Fund as an energy scientist, at Princeton University as a research staff member, and at NASA Ames as a National Research Council associate. He received a Ph.D. in chemistry from UC Berkeley in 1999.
Twitter handle: @energygeek
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