Hi there! 👋

My name is Justin and I am an aspiring researcher in AI/ML. Currently, I am doing my PhD in Machine Learning at the Big Data Institute, University of Oxford, advised by David Eyre, Sarah Walker, and David Clifton. We are working towards generation and evaluation of infectious disease consultations with clinical advice.

In 2024, I visited Stanford University as a Canadian Fulbrighter and joined the Centre for Artificial Intelligence in Medicine & Imaging (AIMI) under Curtis Langlotz. We are developing multimodal generative AI in radiology, such as interpretable LLM-based metrics for report generation and vision-language systems capable of understanding temporal relationships in medical images.

I was trained as an engineer and earned my BASc in Engineering Science from the University of Toronto. As part of my research, I worked with Alistair Johnson and deployed a clinical terminology annotation dashboard with NLP to support multi-site analyses of EHRs. Additionally, with Matthew McDermott, I developed the "Automatic Cohort Extraction System (ACES)" for reproducible machine learning over event-stream data and contributed to the "MEDS Decentralized Extensible Validation (MEDS-DEV)" benchmark for medical time series representation learning.