Wissenschaftliche Interessen:

1. Detection and location of Earth surface processes from seismic signals;

2. Machine learning-driven early warning system for debris flow and landslide;

3. Quantitative risk assessment for natural hazards;

Werdegang / Ausbildung:

2014/09 - 2018/06, Bachelor of Science in Engineering, Chengdu University of Technology, Sichuan, China

2018/09 - 2021/06, Master of Engineering in Civil Engineering, Chengdu University of Technology, Sichuan, China

2021/10 - Now, PhD of Geoscience in Helmholtz Centre Potsdam, German Research Centre for Geosciences, Potsdam, Germany

Projekte:

Catchment-scale debris flow early warning systems using seismic signals and machine learning methods, project leader, Funded by State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, China, 2023-2024

Auszeichnungen:

2021/06: Outstanding Graduates in Sichuan Province, China

2023/08: AGU Early Career Spotlight