I am a PhD Candidate at USC, using Bayesian deep learning to reconstruct temperature data for analyzing how temperature affects human health. I was a Research Assistant at The University of Hong Kong studying artificial light at night.
My research interests are broadly in AI for Earth to understand human impacts on Earth, including urbanization, temperature, air pollution, etc. To analyze Earth observation data, I develop advanced computing methods, mainly on image classification and reconstruction, with specific topics covering few-shot open-set classification, ensemble learning, and multitask learning.