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Min Chen is an Assistant Professor in the Department of Forest Wildlife Ecology at the University of Wisconsin-Madison. His academic work primarily focuses on terrestrial ecosystem and land surface modeling, along with the application of remote sensing technologies in understanding human-Earth interactions. He earned his PhD in Earth & Atmospheric Sciences from Purdue University in 2013 and has extensive experience as a postdoctoral fellow at Harvard University and as a Barbara McClintock Fellow at the Carnegie Institution for Science. His research interests encapsulate a diverse range of themes, including ecosystem modeling, remote sensing approaches to ecological challenges, and the socio-economic impacts of ecological changes, particularly within Arctic-Boreal ecosystems. Chen actively collaborates with various research teams, contributing his expertise to projects aimed at quantifying methane emissions from wetlands and predicting wildfire patterns using advanced machine learning techniques. He has an impressive record of publications in high-impact journals such as Nature Climate Change and Environmental Research Letters, contributing significantly to the discourse on global biogeochemical cycles and climate change impacts. Chen is also deeply involved in educating and mentoring the next generation of scientists, teaching courses related to forest ecology and advancing knowledge in ecological modeling and remote sensing methods.
Department of Organismic and Evolutionary Biology, Harvard University • Cambridge, MA
Conducted research focusing on the interactions within terrestrial ecosystems and their external factors.
Department of Global Ecology, Carnegie Institution for Science • Stanford, CA
Researching ecological modeling and contributing to significant projects related to environmental changes.
Department: Department of Computer Sciences