I am an environmental social scientist with a focus on environmental governance. My past and current work is largely dedicated to applying innovative methods and generating specialized and practical knowledge to address outstanding puzzles of environmental governance. This can take several forms: from running surveys to gain insights about behaviors, beliefs, and patterns of relationships, to in-depth policy analysis, data mining, and machine learning approaches. I take a multi-method approach to understand the ways in which people coordinate and cooperate (or fail to do so), and the impact their relationships have at the micro, meso, and macro level. Originally trained as a social scientist, I have embraced a multidisciplinary approach to understanding governance challenges.

I grew up in Southwestern Argentina, in the Patagonia region (no, nowhere near close to the breathtaking Andes or the deep blue waters of the Atlantic Ocean where elephant seals, orcas, and whales bring the landscape to life). I later moved to Córdoba, right in the center of the country, where agriculture, manufacture, and multiple universities create a weird blend of progressive and conservative forces that work as a microcosm of the country as a whole. In 2016 I moved to the U.S., arriving at the Ohio State University to pursue my MS and PhD. I received my PhD in Environment and Natural Resources in June 2021. In my dissertation, I focused on using large amounts of textual and network data to study environmental policy preferences and behavior among actors involved in climate change and hydraulic fracturing policy in the U.S.

In July 2021, I started a job at the University of Michigan School for Environment and Sustainability as a Postdoctoral Research Fellow, within the Western Forest and Fire Initiative. I am currently using computational social science and network analysis approaches to understand the complex adaptive system and challenges facing human communities and forests in the Western U.S.