Resident
Baylor Scott & White Medical Center Temple - Baylor College of Medicine
Roland Tian, MD MBA, is a pathology resident (AP/CP) at Baylor Scott & White Health in Temple, Texas. His interests span molecular pathology, clinical informatics, and interpretable machine learning for decision support. He focuses on building practical analytics from routinely generated data, especially targeted next-generation sequencing, so results are transparent to clinicians and usable in day-to-day workflows.
Roland’s recent projects include developing an NGS-based tissue-of-origin classifier with case-level feature explanations, collaborative studies on SMARCA4-deficient thoracic tumors that pair genomic patterns with BRG1 immunohistochemistry, and graph and CNN-based approaches to connect histologic morphology with molecular phenotypes such as microsatellite instability. He has presented at national meetings and co-authored peer-reviewed work in computational pathology and pathology education.
Before residency, Roland was a full-time research fellow and subsequent collaborator in pathology at Mayo Clinic, where he worked on digital pathology pipelines and quantitative image analysis. He earned his MD at the University of Sydney and an MBA at Trinity College Dublin. Roland is particularly interested in creating and translating machine learning models from theory to clinical environments.