Research areas:
  • Machine Learning
  • Shared Decision-Making
  • Risk Prediction
  • Qualitative Research
  • Total Knee Replacement
University of Melbourne


Daniel Gould

BSc, MD-PhD (enrolled), Graduate Diploma in Biostatistics (enrolled)

Daniel Gould is the first MD student to transition to a formal MD-PhD program at the University of Melbourne. He works within Streams 2 and 3 of the OPUS CRE, namely Risk Prediction and Shared Decision-Making, respectively. Specifically, he is working with experienced clinical researchers, qualitative researchers, and artificial intelligence experts to develop a machine learning-enabled risk prediction tool for total knee replacement recipients while also investigating the views of patients and surgeons on the use of artificial intelligence in healthcare.

Daniel’s long-term research goal is to build artificial intelligence systems and embed them in clinical workflow to improve patient care. A key aspect of this research is involving stakeholders and ensuring their input is valued and prioritized throughout the process.

View recent publications


2018 Australian Orthopaedic Association Joint University Scholarship


OPUS Translation and Engagement; OPUS Consumer Engagement; OPUS Data Link; St Vincent’s Surgical Students’ Society: Committee Member

SOMA (Students in Orthopaedic and Musculoskeletal Academia): President

Department of Surgery, University of Melbourne: Research Assistant