Professional Overview
I’m a Computational Biology and Machine Learning researcher at the Westmead Institute for Medical Research (WIMR), University of Sydney. I develop end-to-end AI systems for biomedical datasets, including multi-omics and medical imaging (DICOM and CEUS). My core focus is building reproducible, reliable models that integrate clinical, imaging, and molecular data for diagnostic decision support and treatment planning. I work closely with cross-functional research and clinical teams to translate data into actionable insights, optimize workflows, and improve model performance in real-world settings. I have extensive experience with Python, TensorFlow, PyTorch, scikit-learn, SQL, and cloud-based research environments. I currently hold Global Talent Residency visas for both Australia and the United Kingdom, allowing full relocation and work rights for industry roles.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
