I make the best use of data to understand the Earth and beyond
Dr Sheng Fan is a scientist with geoscience, data science, and material science expertise. With an unwavering passion for unlocking the intricate wonders of the Earth and beyond, Dr Fan harnesses the power of data to illuminate its complex beauty.
In Dr Fan's daily pursuits, a diverse range of data takes centre stage. From capturing and scrutinizing microscale SEM images to tabulating geochemistry data and delving into the intricacies of kilometre-scale seismic, magnetic, gravity, and remote-sensing data, Dr Fan skillfully navigates a vast array of information. These datasets are meticulously processed using statistical and machine learning techniques, revealing the Earth's historical tapestry and enabling predictions for its future across multiple scales.
"Go for the messes―that's where the action is."
―Steven Weinberg
Ice is Hot
While it may feel cold to the touch,
ice on Earth is relatively hot. Understanding the micro-physics that drive deformation processes in strongly deformed ice, particularly in hot ice, very close to its melting temperature is crucial for understanding future sea-level rise.
Cool ice with hot properties
Nature Geoscience
Research Methodology
Laboratory Experiments
I am passionate about Ice and rock deformation experiments, which are the keys to understanding the physics of processes on Earth's surface and at Earth's interior.
Analytical & Numerical Modelling
Analytical and numerical modelling are the key to predicting the future. The process of improving models is always satisfying. Image: simulated stress field of an edge dislocation.
Data Science &
Machine Learning
We have produced too much data but their potential has not been fully released. Machine learning provides a powerful tool that makes my work on multi-dimensional data more efficient.
Photo credit: Google DeepMind
Ice Core Study
Ice cores are memories of the Earth. By studying ice cores, I am able to communicate with the Earth, listen to her, and find solutions to protect her from global warming.
Research Network
Major Academic Collaborators
