PhD Candidate

Justin Xu

PhD Candidate - Artificial Intelligence & Machine Learning
Research Interests
Clinical AI, Machine Learning, NLP

Justin is currently reading for a DPhil (PhD) in Biomedical Data Science at the Big Data Institute, University of Oxford. His research aims to leverage AI and ML to decipher clinical data and enhance healthcare. Specifically, his doctoral work focuses on developing, deploying, and evaluating AI/ML tools to help hospitals manage patient demand. Justin is co-advised by Professor David W. Eyre, Professor A. Sarah Walker, and Professor David A. Clifton.

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

Prior to beginning his doctoral studies, Justin worked with Dr. Alistair E. W. Johnson at the Hospital for Sick Children. 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, he contributed to the cohort querying features of "EventStreamGPT", a pre-processing and modelling library designed for generative pre-trained transformers and medical record time series. Justin was trained as a biomedical engineer and holds a BASc in Engineering Science from the University of Toronto.