Summary
Who I am?
A data scientist and geophysicist dedicated to designing early warning systems for mass movements such as landslides, debris flows, and floods.
What is my superpower?
Proficiency in merging temporal and spatial data to train machine learning models for event detection and tracking.
What motivates me in my scientific career?
A strong drive to mitigate hazards and develop strategies that reduce the risk of mass movements under changing climate conditions.
Research Interests
Machine Learning & Data Science
Developing machine/deep learning model for mass movements detection and tracking;
Advancing uncertainty quantification in data and models to improve predictive reliability.
Geophysics & Modeling
Applying geophysical methods (e.g., seismic and DAS) to monitor mass movements;
Conducting forward and inverse modeling to better understand event processes.
News
2026-05-21
Our Benford's Law paper was ranked among the top 10% most-viewed papers published in JGR: Earth Surface between 2024-01-01 and 2024-12-31.
2026-05-12
Teaching at the Uni. of Potsdam
2026-05-03
Looking forward to seeing you at EGU. Here are two of my research projects:
(1) stTwin: A digital twin framework for
catchment-scale sediment transport
(2) Deep Learning Reveals Debris Flow Impact Forces
from Seismic Signals
News Archive
You can find earlier updates here .