Welcome!
I am currently a postdoctoral associate in the SPIRES lab at the Yale School of the Environment where I focus on using remotely sensed data in causal impact evaluation of environmental policies. I hold a PhD and MS in Natural Resources and Environmental Sciences from the University of Illinois Urbana-Champaign, where I worked on topics related to understanding the environmental, economic, and social impacts of forests and agroforestry systems as a part of the Miller Research Group and the Wardropper Research Group. I earned my BS in Aerospace Engineering from the University of Texas at Austin where I worked with Dr. Armand Chaput. |
Biography: I am a transdisciplinary environmental social scientist focused on nature-based solutions and understanding the social-ecological dynamics that shape the success of conservation and development actions. My research focuses on forests and agroforestry systems to advance knowledge of their contributions to climate change, sustainable livelihoods, and conservation. My research is fundamentally driven by the question how can we support the expansion of climate smart agricultural and forestry practices in a way that benefits both people and the environment.
My research approach lies at the intersection of environmental social science and data science drawing from political and environmental sciences, economics, sociology, and geography and remote sensing. My research projects have included synthesizing literature on the impacts of agroforestry policies and practices and conducting holistic assessments of the potential to expand agroforestry in the US Midwest using geospatial analysis, modeling, and qualitative data. My research currently focuses on integrating remotely sensed data into forest policy evaluation, including in Voluntary Carbon Markets. Broadly, I focus on applied research investigating the relationships between human development, land cover and land cover change, and conservation policies to inform policy decisions that can benefit people and the environment.
My research approach lies at the intersection of environmental social science and data science drawing from political and environmental sciences, economics, sociology, and geography and remote sensing. My research projects have included synthesizing literature on the impacts of agroforestry policies and practices and conducting holistic assessments of the potential to expand agroforestry in the US Midwest using geospatial analysis, modeling, and qualitative data. My research currently focuses on integrating remotely sensed data into forest policy evaluation, including in Voluntary Carbon Markets. Broadly, I focus on applied research investigating the relationships between human development, land cover and land cover change, and conservation policies to inform policy decisions that can benefit people and the environment.