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Quentin's work uses big human data to understand how humans influence the natural world. A spatial and community ecologist by training, he came to SESYNC as a postdoc in 2018 to investigate the environmental impacts of food waste throughout food supply chains. Since 2019, he has been a member of SESYNC's data science team. As a data scientist, Quentin helps SESYNC researchers and working groups with data analysis, visualization, processing and management. He also develops and teaches data science lessons and maintains the rslurm package.
Quentin's SESYNC projects involve identifying the sectors of the United States economy that are the most responsible for the food system's environmental impacts, assessing the effectiveness of proposed interventions and technologies to reduce food waste, and incorporating biodiversity into environmental assessments of food production and consumption. In the past, he has studied the environmental and spatial factors predicting species diversity, and how local communities of species respond differently to climate change and species loss. Please see Quentin's website for more information on his publications and research interests.