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:
- 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.
- 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.
- 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.