I am currently working on machine learning-supported registration and tracking of retinal images, in the context of the development of an augmented reality environment to support surgeons during vitreoretinal procedures, part of a larger project developing an image-guided flexible robotic system for ophthalmic surgery. I originally graduated with a BSc in Environmental Engineering from the ETH Zürich, following this up with an MEng degree at Cambridge, specialising in ‘Information Engineering’ encompassing topics such as signal processing, machine learning, and computer vision. My master’s thesis has the title “The Influence of Fitness Characterisation on Locomotion Optimisation” and explores the control of a simple bipedal locomotion model, which first piqued my interest in bio-engineering and related fields.
PhD in Medical Physics and Biomedical Engineering, 2021 (expected)
University College London
MEng in Mechanical Engineering, 2017
University of Cambridge
BSc in Environmental Engineering, 2012