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Dr. Cynthia Gerlein-Safdi is an ecohydrologist interested in understanding water-carbon relations within the soil-plant-atmosphere continuum. She uses an array of methods, from satellite data to process-based modeling, from stable isotopes lab experiments to field measurements. Dr. Gerlein-Safdi graduated with her PhD from the department of Civil and Environmental Engineering at Princeton University in 2017 and was a junior fellow from the Michigan Society of Fellows from 2017 to 2020, working in the department of Climate and Space Sciences and Engineering. She started as a Project Scientist at Lawrence Berkeley National Laboratory in October 2020 and is part of the Climate & Ecosystem Sciences Division, splitting her time between the Watershed Function SFA and the Terrestrial Ecosystem Science SFA team. In this new setting, she is continuing her work linking the water and carbon cycles in vegetation, understanding the effects of dew, fog, and rain interception on plant function and water resources, and combining stable isotopes, remote sensing, and process-based modeling to get an understanding of how these processes hold across spatial and temporal scales.
Dr. Cynthia Gerlein-Safdi is an ecohydrologist interested in understanding water-carbon relations within the soil-plant-atmosphere continuum. She uses an array of methods, from satellite data to process-based modeling, from stable isotopes lab experiments to field measurements. Dr. Gerlein-Safdi graduated with her PhD from the department of Civil and Environmental Engineering at Princeton University in 2017 and was a junior fellow from the Michigan Society of Fellows from 2017 to 2020, working in the department of Climate and Space Sciences and Engineering. She started as a Project Scientist at Lawrence Berkeley National Laboratory in October 2020 and is part of the Climate & Ecosystem Sciences Division, splitting her time between the Watershed Function SFA and the Terrestrial Ecosystem Science SFA team. In this new setting, she is continuing her work linking the water and carbon cycles in vegetation, understanding the effects of dew, fog, and rain interception on plant function and water resources, and combining stable isotopes, remote sensing, and process-based modeling to get an understanding of how these processes hold across spatial and temporal scales.