Dr Pratt obtained his undergraduate degree from the Department of Mathematics at Imperial College. Continuing at the College, he then studied for his PhD in the Neural Systems Engineering Group at the Department of Electrical and Electronic Engineering.
For over 13 years he subsequently worked as a quantitative analyst at a number of top-tier investment banks, with a particular focus on the vanilla and exotic fixed income derivatives businesses, and their associated pricing and risk management systems.
During the latter half of this period, he moved to a part-time working arrangement, enabling him to explore research opportunities at the Institute of Biomedical Engineering, Imperial College, on a voluntary basis.
This led ultimately to a change in career, and he was appointed Research Fellow at the Hamlyn Centre for Robotic Surgery, Imperial College. From within the Department of Surgery and Cancer, he now undertakes a very active research programme in the field of image-guided surgery, and has successfully translated new technology and software into clinical practice in the operating theatre.
et al., 2019, Evaluating the impact of image guidance in the surgical setting: A systematic review, Surgical Endoscopy, ISSN:0930-2794
et al., 2019, Subject-specific modelling of pneumoperitoneum: model implementation, validation and human feasibility assessment, International Journal of Computer Assisted Radiology and Surgery, ISSN:1861-6429
et al., 2019, Perfect registration leads to imperfect performance: a randomised trial of multimodal intraoperative image guidance, Annals of Surgery, Vol:269, ISSN:0003-4932, Pages:236-242
et al., 2018, Intraoperative ultrasound for improved 3D tumour reconstruction in robot-assisted surgery: An evaluation of feedback modalities, International Journal of Medical Robotics and Computer Assisted Surgery, ISSN:1478-5951, Pages:e1973-e1973
et al., 2018, Current and future use of radiological images in the management of gynecological malignancies - a survey of practice in the UK, Anticancer Research, Vol:38, ISSN:0250-7005, Pages:5867-5876