About Me
I am a DPhil candidate in Computer Science, jointly supervised by Prof. Ana IL Namburete and Prof. Konstantinos Kamnitsas, based at the Department of Computer Science. My research focuses on translating deep learning models from research into clinical practice. In particular, I develop computer vision models designed to be robust to domain shifts, applying them to the task of accurate automated hippocampal segmentation for the monitoring and assessment of dementia.
Background
For my undergraduate studies, I completed an MEng in Biomedical Engineering at Imperial College London. After graduating, I worked as a software developer at Deloitte before returning to academia to complete an MPhil in Health Data Science at the University of Cambridge. My thesis, “Statistical Modelling of Neuroimaging Biomarkers: Investigating Hallucinations in Dementia with Lewy Bodies” explored the intersection of neuroimaging and statistical modelling. I also recently completed an internship at Canon Medical Research, where I worked on generative models for medical image analysis.
Personal Interests
Outside of academia, I enjoy playing squash, tennis and hiking.
Search for Hoda Kalabizadeh's papers on the Publications page