Abigail is a Data Analyst at NASA GSFC and UMD ESSIC. As a research assistant, she creates tools for science communication through the development of Google Earth Engine programming tutorials and interactive map applications. She holds an M.S. in Wildlife & Fisheries Science and her M.S. research focused on the relationship between forest complexity and species richness of avian species of conservation concern.

Personal website: https://shuoxu2018.github.io/

Shuo Xu is a doctoral student and Research Graduate Assistant at the University of Maryland in the Department of Geographical Sciences. She earned an M.S. in Cartography and Geographical information system from Beijing Normal University, China. Her research interests lie in land surface temperature and vegetation dynamics, with a focus on data retrieval, spatial downscaling, and the fusion of multi-source datasets through physics-guided machine learning.

I am a student passionate about geospatial data science and artificial intelligence, with an emphasis on pattern mining, physics-guided machine learning, and responsible AI practices(fairness, security, etc.). One-sized AI doesn't fit all, and my research mainly addresses the challenges of applying machine learning on geolocated data (GIS, Remote Sensing, etc.). Application domains of my research include transportation, urban planning, economics, environmental science, and public health.

Through my research activities, I have built up understandings in computer vision, natural language processing, statistical computing and pattern analysis, I have also published several peer-reviewed research papers in venues of machine learning and geographic information science.

For up-to-date information about me, please visit my personal homepage, where I make regular updates.