Imperial College London

Erik Mayer

Faculty of MedicineDepartment of Surgery & Cancer

Clinical Reader in Urology



e.mayer Website




1020Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus




Current PhD Candidates

Asem Abdulaziz - Data Science for Cancer Pathway Analysis

Asem Abdulaziz

Baoru Huang - Development of surgical navigational and visualisation tools to enable surgeons to intuitively use a “tethered laparoscopic molecular probe” and optical biopsy device for accurate identification of prostate cancer and image-guided surgery

Baoru Huang

Daniela Rodrigues - Evaluation of digital-first models of care using routinely collected data

Daniela Rodrigues

Jackie Van Dael - Improving the analysis and use of patient complaints for quality monitoring in the English  National Health Service (NHS)

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Katelyn Smalley - Patient Academy: Empowering Patients to Self-Manage


Lisa Freise - Engaging patients in their care through electronic record access

Marcos Manhaes - Improving safety culture through digital enabled networks: a novel patient safety strategy

Marcos Faquer Manhaes

Mustafa Khanbhai - Exploring the opportunities and challenges of measuring patient experience data in real-time using digital technology


Sneha Jha - Application of Machine Learning to defining problems and diagnosis from the interoperable electronic patient record

Completed PhD Candidates

  • Archie Hughes Hallett - The Development of an Image Enhanced Operating Environment in Robotic Partial Nephrectomy
  • Bushra Siddiqi - The Application of Process Mining to Care Pathway Analysis in the NHS
  • James Dilley - Evaluating the opportunities for image guidance as a surgical decision-support technology to improve
  • Jochem Caris - The role of the patient in evaluating Quality of Care
  • Kelsey Flott - Improving the usefulness and use of patient experience feedback
  • Mafalda Camara - Patient-Specific Simulation Environment for Surgical Planning and Preoperative Rehearsal
  • Sabine Vuik - The application of data-driven population segmentation to design patient-centred integrated care

Funded Research Programmes

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Research Student Supervision

Dawda,S, Image guidance in patient-specific surgical simulation

Khanbhai,M, Using Natural Language Processing on patient experience feedback for real-time benefit