Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
 More search options
Centre for Advanced Biomedical Imaging
Paul O'Gorman Building
72 Huntley Street
Ms HANNAH COLEMAN profile picture
  • Student
  • Dept of Med Phys & Biomedical Eng
  • Faculty of Engineering Science
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. 

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).
Some IRIS profile information is sourced from HR data as explained in our FAQ. Please report any queries concerning HR data shown on this page to hr-services@ucl.ac.uk.
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by