Dr. Quentin Read uses big open data to understand how humans influence the natural world. In 2019, he joined the SESYNC data science team. As a data scientist, Quentin helps SESYNC researchers and working groups with data analysis, visualization, processing, and management. He also enjoys developing and teaching lessons for SESYNC’s data science curriculum and maintaining the rslurm package to lower barriers to access to SESYNC’s high-performance computing cluster. Quentin first arrived at SESYNC in 2018 as a postdoctoral research fellow working with the Food Waste and Environment group, investigating the environmental impacts of food waste throughout the food supply chain. Quentin's SESYNC research involves 1) identifying the sectors of the U. S. economy that are the most responsible for the food system's environmental impacts; 2) assessing the effectiveness of proposed interventions and technologies to reduce food waste; and 3) incorporating biodiversity into environmental assessments of food production and consumption. An ecologist by training, Quentin earned his PhD at the University of Tennessee and completed a postdoctoral fellowship in spatial and community ecology at Michigan State University before coming to SESYNC. Please see Quentin's website for more information on his publications and research interests.