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Benoit Parmentier is a trained geographer whose research interests include land cover change, climate, sustainability, global environmental change and Remote Sensing/GIS and social sciences. Benoit is from Belgium where he did his undergraduate studies and master in geography and Remote Sensing/Cartography. He holds a PhD in geography from Clark University Worcester Massachusetts. During graduate school, he worked at Clark Labs (IDRISI/TerrSet) for many years and later spent some time at the National Center for Ecological Analysis and Synthesis (NCEAS) as postdoc. He worked at the Sustainability Solutions Initiative at the University of Maine for a few years before joining SESYNC. He is involved in research on time series analyses, space-time methods, Climate Variability and teleconnections (ENSO), land cover change and Food flows in Yucatan. He also worked on Fire detection and surface changes using MODIS time series in Alaska. For the past five years, he has been leading with NCEAS an interpolation effort blending satellite time series and meteorological stations to generate a global daily time series of climate variables at one kilometer resolution over 30 years for in use species modeling, epidemiology and other applications. He is also involved in a new project modeling malaria across cities in Africa. Throughout his research, Benoit has developed an interest in data science and geocomputation. He has worked on developing quantitative methods and spatial products and; has become a keen user of open source softwares and tools for sharing code and conducting research freely. He worked across disciplines with a variety of researchers in social sciences, environmental and computer sciences. He is eager to learn more and provide help for everyone at SESYNC!