The goal of my research program is to enable transplant teams with access to novel, high-quality assays and algorithms that can be used to make enhanced clinical decisions for optimal patient outcomes. Specifically, my research program is focused on:

  1. The discovery of novel biomarkers that predict patient outcomes. The goal of this work is to identify novel biomarkers that can be used to predict pre-transplant and ex vivo outcomes, post-transplant outcomes, and response to therapy.
  2. The development of assays to actualize biomarker testing. Biomarker discovery represents the foundation for medical devices. However, translation of biomarkers into diagnostic tests remains a significant barrier to routine clinical adoption. This research activity is specifically focused on: (i) engineering novel in-house tests, and (ii) establishing leading-edge collaborations to build a suite of novel biosensors for transplantation.
  3. The application of artificial intelligence and machine learning to integrate multiple biomarkers and augment clinical decision-making. My research program applies cutting-edge machine learning techniques to develop biomarker algorithms that outperform traditional approaches and extract a wealth of previously untapped data from the transplant procedure.

Related Links

For a list of Dr. Wong's publications, please visit PubMed, Scopus or ORCID.

Assistant Professor of Epidemiology, Dalla Lana School of Public Health, University of Toronto
Assistant Clinical Professor (Adjunct), Department of Medicine, McMaster University