Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Research Biography

I am a clinical epidemiologist, biostatistician, and pharmacist with a primary research interest in the health applications of generative AI, and the use of biological, chemical, and clinical markers to guide decisions regarding the most appropriate use of medicines (precision medicine).

I have deep expertise in many areas of clinical data science, including prediction models (machine learning), generative AI, survival analysis, evaluation of treatment heterogeneity, clinical trial analysis, and meta-analysis. I have a high degree of proficiency in both R and python programming languages.

Research Interests

  • Precision medicine
  • Machine learning
  • Health applications of generative artificial intelligence
  • 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


  • Registered

Research Areas

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

Supervisory Interests

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

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