Consultant

Senan Kuruppu

Senan is a Biomedical Engineering (Honours) graduate who brings strong analytical, financial and data-modelling capability to HealthConsult’s Policy, Strategy and Planning team. He specialises in health economics, financial modelling and using artificial intelligence to solve clinical and system-level problems. Before joining HealthConsult, he gained commercial experience at Zimmer Biomet supporting the logistics and technical requirements of orthopaedic surgery across Australia, and worked in biomedical engineering consulting delivering end-to-end project work with clinicians. Senan is passionate about using data and evidence to drive innovation and improve equitable access to care.

Senan’s superpower

Senan’s superpower is translating complex technical data into clear, actionable insights. He combines an engineering mindset with strong analytical capability, using a host of technical software to turn large, complex datasets into evidence-based narratives that support strategic, future-focused decision making.

How he got here

  • Developed deep learning models to improve the accuracy and fairness of automated skin cancer detection, including evaluating diagnostic sensitivity, precision and racial bias in existing AI tools.
  • Completed a cost-utility analysis assessing the value of left-ventricular assist devices compared with optimal medical management, modelling clinical outcomes, QALYs and health system resource use.
  • Coordinated high-volume orthopaedic device logistics at Zimmer Biomet, gaining practical insight into surgical workflows, device performance and quality standards.
  • Managed project scope, stakeholder engagement and resource planning as a biomedical engineering consulting intern, leading a team developing a joint-replacement solution aligned with clinical requirements.
  • Completed a Bachelor of Engineering (Biomedical) with First Class Honours at the University of Technology Sydney with an Honours thesis on verifying deep learning performance in medical imaging for skin cancer detection.