Assistant Professor
iain@unc.edu | Iain Carmichael‘s Website
Research Areas:Computational pathology, deep learning for medical imaging, multimodal data analysis, natural language processing for clinical notes, high resolution tissue imaging data (e.g. digital pathology, spatial transcriptomics, multiplex immunoflorecence), precision medicine/translational AI algorithm development for cancer and transplant diseases, open-source software
Iain Carmichael is an assistant professor of pathology and data science working in computational pathology. His lab builds data-driven, computational systems to analyze high-resolution histology images of diseased tissue as well as other clinical data sources such as text reports in electronic health records. The ultimate aim is to develop artificial intelligence approaches that improve diagnostic precision, increase access to state of the art healthcare, uncover novel biomarkers for disease prognosis/therapeutic response and streamline the basic scientific investigation of disease processes. A major research focus is the development of novel machine learning approaches to address the scale and complexity of histopathology images, which are typically tens to hundreds of thousands of pixels in dimension and take years of clinical training to interpret. The lab works to solve these difficult biomedical data analysis problems by weaving together domain expertise, deep-learning, computer vision, statistical inference and open-source software.