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20022026

Research activity per year

Personal profile

Research Biography

I am a Health AI researcher, biostatistician, and pharmacist with over 20 years of experience applying data science and artificial intelligence to improve the use of medicines and healthcare decision-making.

My research spans three main areas:

  • developing and critically evaluating health applications of generative AI, with a focus on clinical reliability, safety, and oversight
  • using machine learning and advanced biostatistical methods - often with individual participant data from clinical trials - to predict who will benefit from anti-cancer treatments and who is at risk of serious side effects.
  • investigating extracellular vesicle biomarkers as liquid biopsies to track drug effects on specific organs in real time.

With extensive expertise in clinical data science - including agentic AI, predictive AI, survival analysis, treatment effect modification, clinical trial evaluation, and meta-analysis - I aim to understand and utilise complex data to improve healthcare. I welcome opportunities for collaboration to advance healthcare through innovative research and education.

Research Interests

  • Health applications of artificial intelligence
  • Precision medicine
  • Machine learning methods
  • Predicting therapeutic and adverse outcomes of cancer medicines in advanced cancer
  • Novel biomarkers for precision dosing of medicines
  • Evidence-based medicine, clinical epidemiology, pharmacometrics, decision analysis, pharmacoeconomics and meta-analysis

Supervision

  • Registered

Research Areas

  • Knowledge discovery, AI and data mining
  • Digital health and technology

Supervisory Interests

  • Generative artificial intelligence
  • Clinical epidemiology
  • Personalised medicine
  • Biomarkers
  • Machine learning
  • Biostatistics

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  5. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or