Dr. Zhou’s primary research interests at present are 1) integrating economic theory and data science to value nonmarket goods in forests and derive landowners’ preferences and their interactions; 2) optimal decision making in forest management under risk and uncertainty induced by climate change; 3) economics of forest biodiversity at large scale; 4) dynamics of timber market and trade of forest products. Dr. Zhou was previously an Assistant Professor of Forest Economics at West Virginia University and before that an Assistant Professor of Economics at the University of Alaska Fairbanks. She has a B.S. in Information Sciences in Forestry from Beijing Forestry University, a M.S. in Forestry from the Technical University of Munich, and a Ph.D. from the University of Wisconsin – Madison.
Dr. Mo Zhou is the co-director of the Forest Advanced Computing & Artificial Intelligence (FACAI) Lab
. As a Global Forest Biodiversity Initiative (GFBI) continental center of research, education, and public outreach for North America, FACAI Lab employs the paradigm of Artificial Intelligence (AI) encompassing different state-of-the-art machine learning and statistical methods to study global, regional, and local forest resource management and biodiversity conservation. FACAI is a team of scholars from 90 institutions in 44 countries.
Multiple graduate assistantships available for 2018 and 2019.