Prior to joining the University of Florida, she worked as a research methodologist in spatial data science at NORC at the University of Chicago.
Education
Ph.D. in Geography, University of Iowa, 2018
Geoinformatics Certificate, University of Iowa, 2018
B.E. in Geodesy and Geomatics Engineering, Wuhan University, 2012
Background
Research interests include Geographic Information Science, Remote Sensing, Geovisualization, Ecosystem Service Assessments, and AI (Machine Learning and Deep Learning). Her research and extension programs are interdisciplinary and employ a wide range of geospatial, statistical, and AI tools, as well as observational, modeling, and mixed approaches. Current research projects focus on: (1) Combining machine learning, deep learning, GIS, remote sensing, and field observation to quantify the spatiotemporal dynamics of and interrelationships between ecosystem services (e.g., food production, climate regulation, pollination, and recreation) across urban and agricultural landscapes; (2) Incorporating socioeconomic data (census, surveys, social media, crowdsourced data) and qualitative methods into ecosystem service assessments to understand socioeconomic drivers of ecosystem service production, use, and consequences on human health and well-being; (3) Utilizing GIS, remote sensing, and AI to support interdisciplinary applications in agriculture, public health, and social sciences.