Teaching & Mentorship
Courses, supervision, and a teaching philosophy centered on rigor, curiosity, and real-world geoscience problems.

AI in Geophysics Seminar · CSU
Lectures & research seminars

Research Seminar · AI in Geophysical Properties & Transferability · CSU

Geothermal AI 2.0 · Research Lecture
Teaching Philosophy
I teach AI in geophysics by linking theory to usable workflows. Students should leave with mathematical intuition, practical coding habits, and the confidence to question models rather than simply run them.
Think from first principles
Build intuition for signals, physics, and uncertainty before treating machine learning as a black box.
Learn by building
Use guided projects and reproducible notebooks so abstract ideas become applied research skills.
Connect research to society
Frame technical work around groundwater, geohazards, and environmental decision-making.
Course Offerings
AI for Geophysics
Undergraduate and Master'sAn introduction to machine learning methods for geophysical interpretation, feature engineering, inversion support, and responsible model evaluation.
Topics covered
Time-Series Forecasting for Earth Systems
Advanced / ResearchA deeper course on forecasting, uncertainty, and physics-guided learning for environmental and subsurface systems.
Topics covered

CSU · Chalkboard
Statistical Learning in Geophysics

School of Infophysics · CSU
AI and Its Applications in Geosciences
May 2025 · Changsha, China
Research Mentorship
I mentor students through the full research cycle: defining a question, building the workflow, evaluating evidence, and communicating results clearly.
“Good mentorship does not remove difficulty; it helps students grow strong enough to handle it.
Collaboration & community

9th China AI & Big Data Geoscience Forum · Expert Committee

Machine Intelligence · Earth Systems Forum

With Prof. Xia (ZJU) & Prof. Liu (CSU) · Changsha

GeoProir v3 · Physics-Guided AI · Seminar