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.

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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