Materials, Structure and Manufacturing at Harwell Activity




Dept of Med Phys & Biomedical Eng

Faculty of Engineering Science

Joined UCL
30th Aug 2021

Research summary

Hannah's main research aim is to develop and apply deep learning techniques to segment HiP-CT (Hierarchical Phase-Contrast Tomography) data (airways, blood vessels, cells, etc.) to enable biological insights to be drawn and for further biophysical simulations. A secondary aim will be to explore more advanced machine learning techniques such as generative adversarial networks, in order to correlate HiP-CT data with images from other modalities (such as histology, lightsheet, MRI and CT).


Hannah is a PhD researcher at the UCL Centre for Advanced Biomedical Imaging (CABI). After completing a degree in Russian and East European Civilisations, living in Sarajevo, Bosnia for a year and working in education for five years, Hannah decided to pursue her childhood ambition of studying physics. Lacking the required A Levels for undergraduate study, she undertook a foundation year in Engineering and Physical Sciences at the University of Nottingham in 2017. 

Achieving a first in her foundation year enabled Hannah to progress to a BSc in Physics which she pursued part-time alongside working, and undertaking research internships. Hannah graduated with a 2:1 from the University of Nottingham. After developing a love of programming, biophysics and medical imaging, Hannah was inspired to undertake an interdisciplinary PhD. She joined CABI in August 2021 with Prof Simon Walker-Samuel, Dr Claire Walsh and Dr Joe Jacob as her supervisors.