Lichao Fang links process conditions to microstructure and properties in metal additive manufacturing using combined data‑driven and physics‑based approaches. He integrates Bayesian calibration, cellular automata, CNNs, and synchrotron‑informed multiphysics to predict defects and optimize builds.