Arman Eshaghi

Computational Neuroscientist
Institute of Neurology
University College London
UK
I am interested in computational modelling of neurodegenerative disorders with a focus on multiple sclerosis. I use large (n>1000) brain imaging and clinical data to understand causes of disability in multiple sclerosis and how it can be stopped. The overarching goal of my research is to understand substrates of disability to prevent it from happening.
My methodological interests are causal models and model based machine learning methods.
01 PORTFOLIO
MY LATEST WORK. SEE MORE >
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Predicting the order at which brain areas shrink in MS
Predicting future disability progression by calculating baseline volumes of brain areas
Experience
and education
2015-July 2018
PhD Student - University College London
Prediction of disease worsening in multiple sclerosis with imaging markers
I work on longitudinal brain imaging dataset to exploit imaging biomarkers to predict future progression of multiple sclerosis.
2012-2015
Research Assistant at Sina MS Research Centre
Tehran University of Medical Sciences
I worked on the acquisition and analyses of functional magnetic resonance imaging and advanced diffusion imaging in multiple sclerosis and neuromyelitis optica
August 2018 - to present
Research Associate - University College London
Developing next-generation imaging and computational models to understand and monitor progressive multiple sclerosis
(Funded by International Progressive MS Alliance)
I work on therapeutic trials in progressive multiple sclerosis to understand the cause of progressive MS and develop new biomarkers for future trials.
2005-2012
M.D
Medical Student
Tehran University of Medical Sciences
Thesis: differentiating demyelinating disorders with multi-modal imaging and clinical data
© 2018 by Arman Eshaghi.