4th June 2024
Dr Eleanor Conole has joined LMH this term as our first Junior Research Fellow (JRF) in Applied AI, bringing valuable experience and expertise to our academic community.
Before joining the College, Dr Conole was a postdoctoral researcher at the University of Edinburgh, funded by the US National Institutes of Health (NIH). Her research focused on the neurobiology of age-related cognitive change, analysing structural and diffusion MRI data in genomic population datasets. She worked with the Lothian Birth Cohorts group, addressing questions related to the heart-brain axis, applying machine learning in neuroimaging-epigenomics, and using data-driven approaches to understand how lifestyle factors affect the brain's white matter architecture.
Dr Conole's research interests include using AI to study immune factors related to accelerated aging and the interaction of lifestyle with the epigenome in shaping brain health trajectories. Her current projects involve applying AI to multi-omic data layers across different population cohorts. She is a member of the Alan Turing special interest group in Clinical AI and serves on the committee of the Molecular Epidemiology Group UK (MEG-UK).
Dr Conole’s PhD research, funded by the Wellcome Trust, examined the relationship between chronic inflammation and brain structure and function throughout life. Dr Conole holds a Masters by Research in electrophysiology from the University of Bristol, where she studied early cortical circuitry in neurodevelopment, and a BSc in Neuroscience. Additionally, Dr Conole has worked as a phlebotomist and assistant sleep physiologist in the NHS, and has collaborated with clinicians on various research projects.
As our JRF in Applied AI, Dr Conole will continue to pursue her research, collaborating with colleagues in the Department of Biochemistry and beyond to enhance the University of Oxford’s contributions to Applied AI research. We are grateful to our supporters for funding this important new position.
Of joining LMH, Eleanor said: “This is really exciting time to be working in AI. I’m delighted to continue my research while being linked to LMH and the amazing community in Biochemistry and Oxford’s Big Data Institute. Alongside new collaborations, hope I can also widen students’ perspectives on careers in tech and science.”