Centre for Medical Informatics, Usher Institute, Medical School, University of Edinburgh
16 March 2020
Michelle Williams, Senior Clinical Research Fellow: “Overfitting and bias in machine learning - a clinical perspective”
Huayu Zhang, Research Fellow: “Using graph-based gene prioritisation to unravel the genetics of brain small vessel disease”
Keith Smith, UK UKRI Innovation / Rutherford Fund Fellow: “A network perspective on the emergence of the complex hierarchical structures of the human brain in health and disease”
Thanasis Tsanas, Chancellor’s Fellow: “Finding a needle in a haystack: automatically extracting sleep spindles from a single lead electroencephalography signal”
Areti Manataki, Teaching and Research Fellow: “Learning and Teaching Health Data Science”
Fatimah Alobayli, PhD Student: “The impact of Electronic Health Records (EHR) on nursing burnout in hospital settings”
Cameron Fairfield, PhD Student: “Gallstones: A sentinel presentation of cardiometabolic disease. Phenotypic and genotypic insights into a complex relationship”
Mark Parsons, Associate Dean for e-Research: “Is Exascale computing irrelevant for Health Informatics?”
Ana Velasco Villaplana, PhD Student: “The genetics underlying imaging features and it’s correlated physiological measures”
Elena Bernabeu Gomez, PhD Student: “Widespread sexual differences in genetic architecture in UK Biobank”
Sheila Fraser, Head of IT for the College of Medicine and Veterinary Medicine: “CMVM Research Computing Infrastructure”
Maria Valdes Hernandez, Row Fogo Lecturer in Medical Image Analysis: “Machine learning schemes in the assessment of brain structural features in our clinical studies of mild stroke”
Emily Jefferson, Director of Health Informatics Centre Services, Dundee: “Health Data Science at Scale: Moving from Descriptive to Predictive Analytics”
Honghan Wu, HDR UK Rutherford Research Fellow: “Efficiently Reusing Natural Language Processing Models on Free-text Electronic Medical Records”. Slides
Grant Mair, Stroke Association Senior Clinical Lecturer and Honorary Consultant Neuroradiologist: “Machine learning for the automated processing of acute stroke imaging”
Hardeep Singh, Professor in Baylor College and the VA in Houston “Diagnostic Error: Emerging Priorities for Patient Safety Science, Policy, and Practice”
Lucy McCloughan, Health Data Programme Manager: “Usher Ethics Update”
Matt-Mouley Bouamrane, Chancellor’s fellow: “Developing eHealth solutions for patients with high priority needs / high treatment burden”
Peter Bankhead, Senior Lecturer “QuPath: Making the most of biomedical images with open source software”
Ahmar Shah, Chancellor’s Fellow: “Predicting Prognosis of Dystonic Children for Deep Brain Stimulation”
Gregor Štiglic, Visiting Lecturer in Usher Institute: “Development, validation and deployment of EHR based type 2 diabetes mellitus screening tools”
Sotirios Tsaftaris, Chair in Machine Learning and Computer Vision: “Deep learning with multimodal data in the life sciences “
Michael Poon, Clinical Research Fellow: “Data-driven approach to understanding glioma survivorship”
Minhong Wang, PhD student: “Agent-based modelling of pattern formation in pluripotent stem cells”
Gashirai Mbizvo, Clinical Research Fellow, Muir Maxwell Epilepsy Centre: “The Scottish Epilepsy Deaths Study (SEDS)”
Guido Sanguinetti, Chair of Computational Bioinformatics at the School of Informatics - “ A computer scientist in epigenetic-land: some statistical challenges in functional genomic data modelling”