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Justin Xu

PhD Candidate

Justin joined NDM and the Big Data Institute in 2023 as a PhD Candidate in Biomedical Data Science. His research aims to leverage artificial intelligence (AI) and machine learning (ML) to decipher clinical data and enhance healthcare. Specifically, his current doctoral work focuses on developing, deploying, and evaluating AI/ML tools to help hospitals manage patient demand. Justin is co-advised by David Eyre, Sarah Walker, and David Clifton. He is principally funded by Oxford University Press via the Clarendon Fund Scholarship.

In January 2024, Justin began his visit to Stanford University as a Canadian Fulbrighter. He joined the Centre for Artificial Intelligence in Medicine & Imaging (AIMI) to develop multimodal generative AI in radiology under Curtis Langlotz.

Prior to Oxford, Justin worked with Alistair Johnson at the Hospital for Sick Children in Canada. During this time, he worked with the MIMIC-IV dataset and deployed a clinical terminology annotation dashboard to support multi-site analyses of electronic health records with natural language processing. Additionally, under Matthew McDermott, he implemented the task querying features of "EventStreamGPT", a pre-processing and modelling library designed for foundation models and medical record time series. Justin was trained as a biomedical engineer and holds a BASc in Engineering Science from the University of Toronto.