[{'Degree': 'PhD', 'University': 'EPFL', 'Country': 'Switzerland', 'Time': '2024-', 'Advisor': 'Devis Tuia'}, {'Degree': 'Exchange Master Student', 'University': 'EPFL', 'Country': 'Switzerland', 'Time': '2023'}, {'Degree': 'M.Sc in Information and Communication Engineering', 'University': 'Wuhan University', 'Country': 'China', 'Time': '2021-2024', 'Advisor': 'Wen Yang'}, {'Degree': 'Winter School', 'University': 'University of Oxford', 'Country': 'UK', 'Time': '2020'}, {'Degree': 'B.Sc in Electronic Information Engineering', 'University': 'Wuhan University', 'Country': 'China', 'Time': '2017-2021', 'Advisor': 'Wen Yang'}]
Background
Currently a PhD student at the ECEO lab, EPFL, focusing on super-resolving and understanding extreme climate events (e.g., heatwaves, drought, and wildfires) using deep learning. Prior to that, obtained Bachelor's and Master's degrees from the Electronic Information School, Wuhan University, under the supervision of Prof. Wen Yang, gaining extensive research experience.