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Dr Ana Namburete

          

Ana Ineyda L. Namburete

Dr. Ana Namburete

RAEng Engineering for Development Research Fellow

 

Dr. Ana Namburete is a Royal Academy of Engineering (RAEng) Research Fellow in the Department of Engineering Science at the University of Oxford and an Associate Research Fellow at St. Hilda's College (Oxford). She is the Principal Investigator of the Ultrasound NeuroImage Analysis Group. 

She studied Biomedical Engineering at Simon Fraser University (Canada) and moved to Oxford for a doctorate degree on a Commonwealth Scholarship. In 2011, she completed a doctorate under the supervision of Professor J. Alison Noble OBE, Director of Biomedical Engineering. 

In collaboration with clinicians at the John Radcliffe Hospital (Oxford, UK) and in Kilifi (Kenya), Dr. Namburete was awarded a Grand Challenge Explorations Grant (Round 14: Exploring New Ways to Measure Brain Development and Gestational Age) from the Bill and Melinda Gates Foundation. She served as the Principal Investigator on that project, which was geared towards the development of a computational tool that identifies physical features of the fetal brain from a routine ultrasound image to automatically, and more accurately, estimate gestational age at any stage of pregnancy.

In 2016, Dr. Namburete was awarded a Royal Academy of Engineering Research Fellowship to pursue machine learning-based methods for analysing neurosonographic data, at which time she started the Ultrasound NeuroImage Analysis Group. She has also been awarded funding from the Global Challenges Research Fund (GCRF) to work on research themes of relevance to developing nations.

 

Vacancies

Dr. Namburete is currently looking for motivated DPhil/PhD students to join her group. If you have an interest in Machine Learning, Image Analysis, Brain Development, and Global Health Challenges, please get in touch. She is particularly interested in supervising projects on:

-       Automated fetal brain segmentation

-       Fusion of 3D brain images

-       Registration (alignment) of ultrasound images of the brain