Published multiple papers on geospatial AI, including GAIR: Improving Multimodal Geo-Foundation Model with Geo-Aligned Implicit Representations. Received Amazon AI PhD Fellowship, Second Place in UT GIS Day Student Presentation Competition, and Outstanding Graduate Student of Beijing.
Research Experience
Intern at Esri Inc., working on the Spatial Co-Scientist project, developed the Spatial Co-Scientist agent system using Esri’s Generative AI Toolkit, integrating Retrieval-Augmented Generation (RAG), LLM reasoning, and ArcGIS Pro workflows to support spatial analysis.
Education
Ph.D. in Geography, The University of Texas at Austin, Advisor: Dr. Gengchen Mai
Background
Second-year Ph.D. student in the Department of Geography and the Environment at the University of Texas at Austin, focusing on Geospatial AI and Intelligent Earth Observation, with particular emphasis on geo-foundation models, spatial representation learning, and efficient large-scale, high-resolution remote sensing mapping.