Tiexing Wang

I'm a Research Geophysicist in the R&D team at Shearwater GeoServices in the United Kingdom. I hold a Ph.D. in Applied Physics and have over five years of experience applying AI and scientific machine learning to real-world geophysical challenges.

My work focuses on bridging physics-based modeling with machine learning to develop robust solutions for seismic inversion and data processing. At Shearwater, I contribute to R&D in:

• GenAI + physics-powered sparse data interpolation
• Physics-informed ML for multiple elimination
• Marine vibroseis technology and sustainable source design
• Development of Reveal, the industry-leading seismic data processing software

My long-term goal is to create a physics-aware deep learning framework that is both scientifically rigorous and impactful across the energy sector—from offshore wind to carbon storage.

Beyond technical research, I actively contribute to the geoscience community. I currently serve as Vice President of the EAGE Local Chapter London and as a committee member of the EAGE Young Professionals.

I also supervise bachelor thesis projects in the Computer Science Department at Delft University of Technology.

Through these roles, I help promote energy innovation, support early-career geoscientists, and advance interdisciplinary dialogue within our field.

I'm always open to new ideas, interdisciplinary collaboration, and partnerships at the intersection of AI, earth sciences, and sustainability. If you'd like to connect, chat over coffee, or explore potential collaborations, feel free to reach out using the links below.