Ongoing doctoral research
Applying artificial intelligence and machine learning to questions in cancer biology, gene regulation and cellular adaptation.
Artificial intelligence · Machine learning · Computational biology
PhD candidate · AI & machine learning · Cancer biology
PhD candidate applying artificial intelligence and machine learning to cancer biology, gene regulation and treatment response.
I work at the intersection of machine learning, gene regulation and cancer biology. My background spans artificial intelligence, psychological science and health research, with an emphasis on careful, interpretable and responsible work.
Selected work
Applying artificial intelligence and machine learning to questions in cancer biology, gene regulation and cellular adaptation.
Artificial intelligence · Machine learning · Computational biology
The approach
Responsible health technology needs technical rigour, an understanding of people and a clear view of the outcome that matters.
Machine learning and applied AI, built and evaluated with the rigour I'd want standing behind a health decision.
A foundation in how people actually reason, decide and cope under uncertainty.
A steady focus on prevention and the outcomes that matter to patients and clinicians.
Where they meet: responsible technology for better health.
Why health?
I was diagnosed with prostate cancer at 34. That experience, and the challenges that came with it, shaped the questions I choose to pursue and strengthened my commitment to research that can improve health outcomes.
Leadership & contribution
University of Adelaide
MiTSA, Masters in Technology Student Association
University of Adelaide
Start a conversation
Open to thoughtful conversations about health, AI and responsible technology.