Master at State Key Laboratory of Geological Processes and Mineral Resources (GPMR), Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China
Weiji Wen holds a Bachelor’s degree in Geochemistry from the China University of Geosciences, Wuhan. Currently, he is pursuing a Master of Science in the Department of Geochemistry at the School of Earth Sciences, specializing in desert geochemistry. His research focuses on understanding geochemical background values and modeling the impact of wind-blown sand on soil composition.
Work Experience 💼:
Weiji is actively involved in the “Chinese Desert Geochemical Background Values and Wind-Blown Sand Impact Model” (Project No. AS2020Y06). Collaborating with the Institute of Geophysical and Geochemical Exploration, his contributions have advanced knowledge in geochemical zoning and environmental management, demonstrating both theoretical acumen and practical expertise.
Skills 🛠️
Weiji is proficient in geochemical analysis and modeling techniques, employing advanced tools and methodologies. His expertise includes geochemical data processing, geochemical zoning through machine learning, and environmental impact assessments, which are vital for resource exploration and sustainable development.
Awards and Honors🏆
His groundbreaking work on desert geochemistry has been recognized through a T3-level SCI publication titled “Determination of Geochemical Background and Baseline and Research on Geochemical Zoning in the Desert and Sandy Areas of China” in Applied Sciences.
Membership 🤝
Weiji has collaborated with the Institute of Geophysical and Geochemical Exploration under the Chinese Academy of Geological Sciences, enhancing the scope and credibility of his research.
Teaching Experience 📚
While not formally a teaching professional, Weiji contributes by sharing his knowledge through research collaborations, mentoring peers, and delivering insights during conferences and academic events.
Research Focus 🔬
Weiji’s research delves into the geochemical baseline values of desert environments and the classification of geochemical zones using innovative machine learning techniques. His work emphasizes sustainable environmental management, resource exploration, and understanding the geochemical variability in desert and sandy regions.
Conclusion