Principal Investigator

Vincent Quoc-Huy Trinh

Digital Histology and Advanced Pathology

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Vincent Quoc-Huy Trinh is a researcher at IRIC and a gastrointestinal, hepatic, pancreatic, and molecular pathologist at the Centre Hospitalier de l’Université de Montréal. He completed his medical studies, pathology residency, and master’s degree in biomedical sciences at the Université de Montréal. As a McLaughlin Fellow, he completed a clinical fellowship at Vanderbilt University Medical Center and worked as a research instructor at Vanderbilt University.

Vincent Quoc-Huy Trinh’s main research interest involves the role played by fibroblasts and stellate cells in the tumor microenvironment of pancreatic cancer precursor cells. The study of progenitor cell populations during oncogenesis in other types of cancers will also be at the heart of his research program. By combining cutting-edge approaches in digital morphometrics, multiplex immunohistochemistry/immunofluorescence and single cell sequencing techniques, he will aim to redefine the diagnostic approach in pathology to help prevent tumor progression by specifically targeting those well-defined cell populations.

Principal Investigator, Digital Histology and Advanced Pathology Research Unit, IRIC

Clinical Associate Professor, Department of Pathology and Cellular Biology, Faculty of Medicine, Université de Montréal

Pathologist, Department of Pathology, Centre hospitalier de l’Université de Montréal (CHUM)

Digital Histology and Advanced Pathology Research Unit

Marcelle-Coutu Pavilion, 3440-1

Phone (office)
(514) 343-6111, ext. 44013
Fax
(514) 343-7780
Email
quoc-huy.trinh@umontreal.ca

Digital Histology and Advanced Pathology

Vincent Quoc-Huy Trinh and his team use imaging and cancer tissue characterization techniques to develop new diagnostic and therapeutic tools. The techniques are centered on his training as a pathologist and medical knowledge associated with various visual manifestations identified in tumors in patients and animals. His team uses multiplex imaging, secretome studies, artificial intelligence applied to images, transgenic mouse models, and spatial transcriptomics, among other techniques.

Research topics

Publications