reza khorshidi
Contact information
Reza Khorshidi
Program Lead, Machine Learning and Biomedical Informatics
I lead the Machine Learning and Biomedical Informatics program at the University of Oxford and am the Head of Quantitative Analytics, EMEA and Special Projects Lab with AIG. I also holds an adjunct fellowship with The University of Oxford's Centre for Functional MRI of the Brain (FMRIB), and am a principal scientist with the Human Connectome Project (an ambitious attempt to pinpoint the brain’s information-processing principals/networks).
My interests include biomedical informatics (e.g., neuroinformatics and medical imaging), healthcare (e.g., technology-enabled delivery of care, and decision-support systems), machine learning (e.g., deep learning, representation learning, Bayesian statistics, computer vision, and network inference), and big data technologies (Spark and high-performance computing platforms) in finance and biomedicine.
I received my DPhil in computational neuroscience and machine learning from The University of Oxford (Linacre College) in 2010 - supervised by professors Stephen Smith and Thomas Nichols.
Recent publications
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Journal article
Emdin CA. et al, (2017), The American Journal of Cardiology, 119, 440 - 444
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Journal article
Emdin CA. et al, (2017), Heart, 103, 55 - 62
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Journal article
Emdin CA. et al, (2016), Stroke, 47, 1429 - 1435
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Conference paper
Emdin CA. et al, (2016), International Journal of Epidemiology, dyw053 - dyw053
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Journal article
Emdin CA. et al, (2015), BMJ, h4865 - h4865