I'm Haolin Wang, a PhD candidate in Computer Science at the University of Sheffield (part-time). I focus on developing machine learning methods to predict materials properties that are realistic and reliable, aiming to bridge the gap between model development and real-world materials discovery. My work explores how multimodal and multi-fidelity data can be integrated to support reliable predictions, with emphasis on interpretability, deployment-centered evaluation, and uncertainty quantification. I strive to build automated pipelines that connect data curation, model training, benchmarking, reliability evaluation, and interpretation to enable realistic development, validation, and deployment of ML in materials science.…I'm Haolin Wang, a PhD candidate in Computer Science at the University of Sheffield (part-time). I focus on developing machine learning methods to predict materials properties that are realistic and reliable, aiming to bridge the gap between model development and real-world materials discovery. My work explores how multimodal and multi-fidelity data can be integrated to support reliable predictions, with emphasis on interpretability, deployment-centered evaluation, and uncertainty quantification. I strive to build automated pipelines that connect data curation, model training, benchmarking, reliability evaluation, and interpretation to enable realistic development, validation, and deployment of ML in materials science.WWWW…