Alumni

PhD Thesis

[PhD Thesis, 2024] Liu, Lihao. Advancing 3D Segmentation: Deep Learning Techniques for Video and Medical Imaging. PhD Student in Applied Mathematics, University of Cambridge, UK. (Thesis Co-Supervisor Jointly with C. Schönlieb).
Viva November 28th 2024. Committee: Ben Glocker and Mireia Crispin-Ortuzar
Post-graduation:

[PhD Thesis, 2021] Sellars, Philip. Minimal Labels, Maximum Gain. Image Classification with Graph-Based Semi-Supervised Learning. PhD Student in Applied Mathematics, University of Cambridge, UK. (Thesis Co-Supervisor Jointly with C. Schönlieb).
Viva November 17th 2021. Committee: Xavier Bresson and Joan Lasenby
Post-graduation: ML Researcher @Darktrace

Master Thesis

[Master Thesis, 2023] Sergio Calvo Ordoñez (Master Student — MPhil in Machine Learning, University of Cambridge). Breaking the Limits of Diffusion Models via Continuous Dynamical Systems. (Thesis Co-Supervisor Jointly with C. Schönlieb).
Post-graduation: University of Oxford for PhD.

[Master Thesis, 2022] Yanqi (Joy) Cheng (Master Student Mathematics, University of Cambridge). Robust Deep Features for SurgicalAction Triplet Recognition. (Thesis Co-Supervisor Jointly with C. Schönlieb).
Post-graduation: University of Cambridge for PhD.

[Master Thesis, 2019] Marianne de Vriendt (Master Student Mathematics, University of Cambridge). Learning to Classify Medical Images with Minimal Supervision.
Post-graduation: @Nabla, Paris Working in ML for Healthcare.