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Hi there 👋

Welcome to my GitHub profile! I am a Senior Research Fellow at the University of Melbourne, where I combine my passions for cancer research, data science, and public health to make a positive impact on the world.

My professional journey bridges the gap between clinical medicine and data science to enhance public health outcomes, particularly in the realm of cancer care. I leverage linked data sources collected in various forms within the healthcare continuum to improve precision medicine for cancer patients and reduce the burden of disease. My goal is to generate actionable clinical insights, inform healthcare policies, and improve treatment equity.

About me 🔬

📌 Job: senior data scientist specialised in clinical and digital health at the Cancer Health Services Research Unit.

💡 Interests: treatment patterns, inequities in access and provision of care, consumer & research partnership, predictive modelling, health economics.

🔭 Background: I earned my PhD in Clinical Medicine, where I explored the role of immunity & tumour microenvironment in colorectal cancer. Today, my research focuses on harnessing population based linked-datasets to improve cancer care and public health.

Language & Technology 📊

R Python Julia SQL Latex Quarto Numpy Spark PyTorch Oracle Canva Tableau Gimp

Some cool projects 🚀

  • PRIMCAT-CRC simulation model: Predicting the Population Health Economic Impact of Current and New Cancer Treatments for Colorectal Cancer: A Data-Driven Whole Disease Simulation Model for Predicting the Number of Patients with Colorectal Cancer by Stage and Treatment Line in Australia completed
  • Competing risk in DES methodology: Implementing competing risks in discrete event simulation: the event-specific probabilities and distributions approach completed
  • NSCLC treatment patterns: Real-World Treatment and Outcomes in ALK-Rearranged NSCLC: Results From a Large U.S.-Based Database completed
  • [PRIMCAT-MEL] & [PRIMCAT-LUNG]: watch this space for our next models almost there
  • [TORCH-VIC]: State-wide Victorian linked dataset for cancer research almost there
  • [Distance travelled methodology] & [Distance travelled for care]: watch this space ongoing
  • [Consumer-led research]: watch this space ongoing
  • [Early access palliative care]: watch this space for our next models starting soon
  • [Inequities in cancer care]: watch this space for our next models starting soon

My passions 🧡

Microbiome
Wildlife advocate 
Hiking 
Bouldering 
Climate Reality Leader 🌱 
Painting 
My bunny Ninja 🐰

💬 Ask me about: cancer research, linked data, predictive modelling, health equity
📫 How to reach me: Twitter & LinkedIn

github-snake