School of Medicine
Showing 41-50 of 59 Results
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Justin Xu
Graduate, Medicine, Radiology
BioJustin is currently studying for a PhD in Biomedical Data Science at the University of Oxford. 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 Professor David W. Eyre, Professor A. Sarah Walker, and Professor David A. Clifton.
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 Dr. Curtis P. Langlotz.
Prior to beginning his doctoral studies, Justin worked with Dr. Alistair E. W. 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, he contributed to the task 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. -
Qianru Xu
Affiliate, Psych/General Psychiatry and Psychology (Adult)
Visiting Postdoctoral Scholar, Psych/General Psychiatry and Psychology (Adult)BioI am currently a postdoctoral fellow at the Center for Machine Vision and Signal Analysis at the University of Oulu, Finland, and a visiting research scholar at the Department of Psychiatry and Behavioral Sciences at Stanford University, USA. My research is deeply rooted in the study of neural signatures and their relation to behavioral changes, especially in the context of understanding emotions and associated affective disorders. The core aim of my work is to unravel the complex neural underpinnings of emotion through the Emotion AI engine, which could lead to more effective diagnostic tools and therapeutic strategies for various emotional and behavioral disturbances.
In addition to my academic and research pursuits, I love to travel and scuba dive. I've been lucky enough to visit 51 countries and have spent more than 3,000 minutes underwater. These experiences, exploring different cultures and the world, are an ongoing and cherished part of my journey.
For more information about me, please see https://frejaxu.github.io/