Education and work experience

August 2021 - May 2024: Studying undergraduate degree at the University of California, Berkeley.

Research Interests

My research interests lie in leveraging data science techniques (including programming and machine learning) to analyze ecological and biological evolutionary processes, particularly studying the relationships between species distribution, diversity changes, and environmental factors using remote sensing data and ecological models.

Current research projects

My current research involves the Motuo Butterfly Diversity Analysis Project in southern Tibet, which explores the relationship between butterfly diversity and environmental factors. This project leverages ecological data analysis pipelines to process remote sensing data (NDVI, S1 radar), environmental variables (temperature, precipitation), and butterfly species data. The project includes spatial analysis, statistical modeling (e.g., GLM, negative binomial), and species diversity estimation using Chao1 corrections. The findings aim to inform conservation strategies by understanding how vegetation and temperature interact to influence butterfly diversity in high-altitude environments.