Professor of Translational Neuroscience at Oxford University and has research interests in the regulation of tau phosphorylation, in the search for genetic and other biomarkers of Alzheimer’s disease.
Professor of Biomedical Engineering and head of the Analysis Group at The Oxford University Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB).
Professor of Engineering Science at the University of Oxford, UK where he has been co-director of the Visual Geometry Group (VGG), one of the internationally-leading groups in computer vision, since 2012.
Debbie has over 20 years of clinical research experience working in the roles of administrator, clinical research associate, project manager, trial manager and self-employed consultant.
Rema is passionate about studying exposures and outcomes in reproductive, perinatal, and lifecourse epidemiology. She has an interest in causal inference and the use of advanced statistical methods to address relevant questions. She currently works with data from the International Childhood Cardiovascular Cohort (i3C) consortium, International Childhood Cancer Cohort Consortium (I4C), and the UK Biobank.
Abdelaali is a machine learning scientist with interests in extracting actionable insights from big data. His research currently focuses on understanding disease trajectories, multimorbidity patterns and their evolution over time.
Samuel is an environmental epidemiologist. His research interests include health effects of multiple environmental stressors and their potential modifiers, climate change, exposure assessment, respiratory epidemiology, and harnessing data science to better inform environmental health policy-making. He is a researcher of the PEAK-Urban programme and co-leading Informal Cities Health Programme, with Prof Kazem Rahimi, at Oxford Martin School.
Andy is a Lead Urban Health Scientist and also Co-founder of the Healthy Cities Network, a global nexus of innovators dedicated to sharing cutting-edge information on urban health.
Zeinab is an epidemiologist. Her research focuses on aetiology of cardiovascular diseases and hypertension using methodologies, such as systematic-review and meta-analysis, individual-patient data meta-analysis and genetic epidemiology.
Milad is an Epidemiologist, who has research interests in blood pressure, cardiovascular disease, and genetic epidemiology. His current research projects involve assessing causal risk factors of valvular heart disease, venous thromboembolism and atrial fibrillation using a combination of large-scale electronic health records and genetic techniques including Mendelian randomisation.
Shishir is a DPhil student with interests in developing machine learning methods for causal inference and representation learning to investigate cardiovascular health.
Yikuan is a DPhil student with interests in Bayesian deep learning, interpretable machine learning, and multimodal representation learning, He's research focuses on investigating deep learning framework for uncertainty estimation and risk factor analysis for cardiovascular disease.
Jeff's project focuses on investigating the associations between maternal infection and the risk of childhood leukaemia.
Emma is part of the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC) research group, she is also involved in women's vascular health research.
Ivan is a software architect and engineer. He has been developing scientific software solutions for the last decade.
Wendy joined the team as Information Governance and Quality Assurance Officer for the ATEMPT Clinical Trial working with Debbie Hedgecott and Kazim Rahini.
Abel was the head of Information Technology and Software Engineering at the Deep Medicine programme. Abel has an extensive experience on managing innovation projects.
Hamid Mohseni has a substantial experience in statistics and biomedical data analysis, including continuous, periodic and categorical data.
Fatemeh was a data scientist with a wide interest in big data mining algorithms and techniques, including machine learning, deep learning and network/graph algorithms.
Amir was a machine learning scientist with interests on data intensive computing platforms, mining massive datasets and deep learning.
Francesca was a machine learning scientist with interests in multi-way processing for sensor arrays through tensor Decompositions.
Jenny was a medical doctor completing research on chronic comorbid conditions and cardiovascular risk as a Rhodes Scholar. She has a particular interest in non-communicable diseases and intensive care medicine.
Roberto was a machine learning scientist. His research focuses on data mining and machine learning for environmental systems modelling and analysis.
Nathalie was a DPhil student, and her research focusses on the epidemiology of cardiovascular diseases using large real-world data sets, as well as the design of digital health systems for patients with heart failure.
Mariagrazia was a Statistical Programmer/Data Analyst at the Deep Medicine research group.
Ana-Catarina was a DPhil student working on blood pressure management in complex populations, namely atrial fibrillation, heart failure and multimorbidity.