See clearly
Use data as evidence.
Research Philosophy
Science that improves technology and society begins with seeing clearly. I treat data as evidence, think across scales — from atoms to components — and push every study from description toward causality.

Science that improves technology and society.
Use data as evidence. A measurement is only useful once its artifacts, background, sectioning and reliability have been accounted for. I would rather report a smaller, defensible result than a large, fragile one.
Atoms to components. Grain-boundary structure, defect populations and interface chemistry are invisible at the component level — yet they set oxidation resistance, creep life and functional stability. Connecting those scales is where the real explanation lives.
Move from description to causality. Describing that a material changed is not the same as explaining why. Mechanistic understanding is what makes a result transferable to a new alloy, a new process window, or a new application.
Microstructure matters, and properties drive function. Processing is not a preliminary step before the science — it is the science. Thermo-mechanical history writes the microstructure, and the microstructure writes the performance.
In practice
Use data as evidence.
Atoms to components.
Move from description to causality.
Microstructure matters; properties drive function.
“Curiosity drives me. Evidence guides me. Impact motivates me.”