I earned my PhD at the Centre for Big Data Research in Health (CBDRH), University of New South Wales (UNSW), Australia. I am currently a Research Fellow at CBDRH, UNSW Sydney, and a Senior Data Scientist at The George Institute for Global Health (TGI).

My research focuses on developing and applying natural language processing (NLP) and deep learning methods to extract clinically meaningful information from unstructured health data, particularly clinical notes and medical imaging. My interests include information extraction and de-identification of free-text data from electronic medical records (EMRs), transformer-based approaches for clinical coding, and multimodal learning with large language models (LLMs) to support stroke care by integrating clinical text with imaging and other patient data.

I currently contribute to the Next-generation Clinical Registry project at CBDRH and lead multimodal large model development for the stroke AI project at TGI. My work draws on expertise in machine learning and software engineering, alongside experience in big-data analytics and data management, to advance scalable methods for health data science.