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.