Trevor D. McKee
PhD
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Dr. McKee is an experienced scientist and manager of multidisciplinary teams in academic and industry settings, with 20+ years of experience in the acquisition and analysis of medical image and microscopy data, and 10+ years managing computational teams that harness multiplex pathology and AI tools to drive research and development goals.
He has extensive collaborative experience working within the R&D ecosystem in Canada over the past 25 years, working closely with pathologists, radiologists, basic scientists, clinicians and pharmaceutical and CRO partners to utilize immunohistopathology, radiology (PET-CT) and machine learning and AI based analysis to assess the potential for biomarkers of drug response in both research and clinical trial settings.
Research Synopsis
My research is focused on the development of analytical pipelines and tools to be able to derive quantitative outputs from biomedical imaging, and spatial transcriptomics, proteomics and metabolomics datasets.
Rapid advances in these technologies has opened up the possibilities for advanced spatial biology interrogation of disease states; but the development of tools to be able to analyze this data have lagged behind our ability to produce these datasets.
My team focuses on the integration of these different modalities together, using both open-source and commercial software and tools to be able to handle large volumes of spatial data in a seamless and efficient manner.
Selected Publications
Yoon AJ, Carvajal RD, …, McKee TD, …, Newman JG. Pilot clinical trial of neoadjuvant toll-like receptor 7 agonist (Imiquimod) immunotherapy in early-stage oral squamous cell carcinoma. 2025. Frontiers in Immunology 16:1530262. PMID: 39931064
Ferri-Borgogno S, Burks JK, Seeley EH, McKee TD, …, Mok SC. Molecular, Metabolic, and Subcellular Mapping of the Tumor Immune Microenvironment via 3D Targeted and Non-Targeted Multiplex Multi-Omics Analyses. 2024. Cancers, 16(5), 846.
Alexander MP, Zaidi M, …, McKee TD, Taner T. Exploring the single-cell immune landscape of kidney allograft inflammation using imaging mass cytometry. 2024. Am J Transplantation 24(4):549-563. PMID: 37979921
Fu F, Guenther A, Sakhdari A, McKee TD, Xia D. Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples. 2022. J Pathology Informatics 100011. https://doi.org/10.1016/j.jpi.2022.100011
5. Perentes JY*, McKee TD*, Ley CD, Mathiew H, Dawson M, Padera TP, Munn LL, Jain RK, Boucher Y. In vivo imaging of extracellular matrix remodeling by tumor-associated fibroblasts. Nature Methods 6(2):143-145, 2009. *equal contribution.