Hi there!

My name is Justin and I am an aspiring data scientist looking to leverage AI/ML in healthcare! Currently, I am a PhD Candidate at the Big Data Institute, University of Oxford, advised by David Eyre, Sarah Walker, and David Clifton. We are working towards AI-based smart hospitals by developing, deploying, and evaluating tools to help hospitals manage patient demand.

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, including interpretive LLM-based metrics for clinical report generation and vision-language systems capable of understanding temporal relationships in medical images.

I was trained as a biomedical 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, under Matthew McDermott, I developed the “Automatic Cohort Extraction System for Event-Streams (ACES)” and contributed to the “MEDS Dynamic Extensible Validation (MEDS-DEV)” benchmark for medical time series representation learning.

Interests