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
Dr Jane Rondina
UCL Institute of Neurology
33 Queen Square, 4th floor
Tel: 02034488772
Dr Jane Rondina profile picture
  • Senior Research Fellow
  • Brain Repair & Rehabilitation
  • UCL Queen Square Institute of Neurology
  • Faculty of Brain Sciences
Research Themes
Research Summary
Dr Jane M Rondina is currently a Research Associate at the Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology at University College London. She obtained a BSc in Computer Science and an MSc in Computer Engineering, applying image processing techniques to segment anatomical structures in cardiac MRI. She obtained her PhD from the Department of Neurology, Medical Sciences Faculty, Unicamp, Brazil, where she worked with functional MRI using both verbal and visual stimuli to study memory in patients with different etiologies of epilepsy. In her post-doc experiences in KCL and UCL, she has worked with machine learning (ML) techniques applied to neuroimaging and other types of clinical data. She also developed a new method (SCoRS) to select the most relevant features from brain imaging based on the theory of stability selection. Also, she has obtained experience with software development for brain imaging analysis, being part of the teams that developed toolboxes specifically for ML applied to neuroimaging (Probid - Pattern Recognition of Brain Image Data, in King's College London and PRoNTo – Pattern Recognition for Neuroimaging Toolbox in UCL). Through collaboration with clinical researchers from different groups, she acquired experience in the application of different ML methods involving data from different clinical conditions. She has also led investigations addressing different approaches to extract relevant features from images with lesions. Her current research interests include integration of information from multiple sources of data (involving different modalities of neuroimaging, clinical, demographic, and genetic data, as well as different ways of extracting features from each kind of data) in order to extract biomarkers to predict response to treatment of neurological and psychiatric diseases. In line with this objective, she is investigating unsupervised learning approaches to stratify patients in specific domains, ultimately aiming to enable the indication of therapies with greater potential for success based on individual multi-source data.
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