Po-Yen Tung

Dr. Po-Yen Tung is a Research Associate at the University of Cambridge's Department of Earth Sciences, jointly appointed with Materials Science and Metallurgy. He holds a PhD from the Max Planck Institute under Prof. Dirk Raabe and was a postdoc at Cambridge from 2021–2024, affiliated with Peterhouse College. His work bridges materials science and machine learning, focusing on accelerating materials discovery and microscopy analysis.

Research Interests:

• Machine learning in materials characterization and alloy design
• High-entropy Invar alloy discovery
• Automated electron microscopy data analysis
• 3D microstructure segmentation

Key Contributions:

• Developed SIGMA, an open-source tool for SEM-EDS analysis
• Discovered high-entropy Invar alloys using active learning frameworks
• Pioneered few-shot learning for 3D tomographic segmentation

Publications highlight data-efficient material design, planetary science insights, and environmental magnetism studies. His work supports sustainable materials development and net-zero energy applications through AI-driven methods.