Patrick Browne Email & Phone Number

Artificial Intelligence is shaping humanity across nearly every industry. Its ability to predict the unknown and create value drives my passion and excitement for the domain.This powerful technology is accelerating, and I am learning about it in my own time while cultivating my skills alongside professionals to eventually contribute to helping the vulnerable with it. The opportunities span from applying task-oriented conversational artificial intelligence applications in medicine to streamlining drug discovery using newer machine learning methods.I have completed various projects, including my recent development of an adversity outcome training pipeline to benchmark synthetic data against authentic data and experimental replication using HPC clusters. I am currently implementing methodologies from the privacy literature across a cohort of open Large Language Models (LLMs) for document-level membership inference to empirically evaluate the most rigorous membership inference strategy in the medical domain. Additionally, I have co-authored an abstract outlining a design for a utility evaluation framework for synthetic health data, which has been accepted at the 2024 International Population Data Linkage Network (IPDLN) conference. In line with this exciting research, I am studying for a Bachelor of Advanced Computing (Computational Data Science) (Honours) / Bachelor of Science (Medical Science). I actively foster my interests in AI & Data Science through the University of Sydney NLP Group and the Biomedical Informatics and Digital Health (BIDH) Research Clinic, where I collaborate and share research insights alongside PhD students and lecturers.I have developed a suite of projects using various tools, ranging from Scikit-Learn to OpenAI's APIs, which are on my GitHub and personal website below. It is an exciting time for AI, and I am grateful to learn and share my enthusiasm about it!