The Oldridge Lab focuses on translational spatial biology to understand human health and disease through intricate spatial biology of intact tissues. The lab employs advanced spatialomic techniques combined with computational, statistical, and artificial intelligence-driven analytic methods to deeply profile tissues with hundreds of thousands of molecular markers in a spatially detailed manner. A key area of study is the tumor-immune interactions within the microenvironment of brain tumors, with a goal of improving immunotherapies for cancers that are particularly difficult to treat. Additionally, the lab's research interests extend to immunopathology across various disease contexts including cancers, autoimmune diseases, and transplantation pathology. The research encompasses a broad spectrum that includes basic, translational, and clinical studies, spanning pre-clinical animal models to human clinical trials. The lab also aims to integrate AI-driven spatialomics with traditional pathology imaging to deliver insights from spatial biology into clinical settings. The field of pathology is undergoing a significant digital transformation, and our lab is uniquely poised to contribute to this revolution by leveraging computational approaches.