Claire Lunch

Claire Lunch works at the interface between NEON science and cyberinfrastructure. She oversees the science needs of the data pipeline for observational data, ensuring that a standardized pipeline can accommodate the broad range of observational data NEON collects, and maintaining data transit through the pipeline over time. She also develops open-source code and instructional materials to assist the user community in working with NEON data. These resources can be found in the Data Tutorials section of the NEON website and in the NEONScience organization on GitHub.

Prior to joining NEON, Dr. Lunch trained as a plant ecophysiologist. She has worked on a wide variety of projects, including an investigation of photosynthetic plasticity in land-dwelling green algae, and studies of leaf- and ecosystem-scale gas flux responses to interacting global change factors. Her overarching scientific interests include plant physiological ecology, ecological forecasting, and strengthening data science in ecology.

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