I work as a post-doctoral research associate and have been based at C3NL at Imperial College London since July 2013. My main research interests are in the use of structural and functional magnetic resonance imaging (MRI) to investigate the neuroanatomy of neurological and psychiatric disorders, with a view to improving diagnosis, predicting disease progression and quantifying treatment response. My background has included research in a variety of different disorders, particularly Major Depressive Disorder, Huntington's Disease as well as schizophrenia, pre-term birth and obesity.
Currently I'm working on the EU-funded COmorbidity in Relation to AIDS (COBRA) project. This international collaboration aims to characterise the effects of living with HIV during the anti-retroviral era, in relation to many aspects of biology, including brain structure and function. Further details can be found on the research page of my profile.
My other research activities include using machine learning techniques to build a predictive model of brain age, based on MRI data. This can be used to quantify the normal distribution of brain ageing and understanding how neurological or psychiatric conditions, prinicipally traumatic brain injury (TBI), may add to or accelerate the ageing process and consequent susceptibility to dementia. I'm also interested in the interplay of genes and environment on neuroimaging phenotypes and the integration of multi-modal datasets, along with running a study on the test-retest reliability of neuroimaging here at C3NL.
et al., 2019, Stratifying drug treatment of cognitive impairments after traumatic brain injury using neuroimaging, Brain, ISSN:1460-2156
et al., 2019, Brain age and other bodily 'ages': implications for neuropsychiatry., Mol Psychiatry, Vol:24, Pages:266-281
et al., 2019, Increased brain age in adults with Prader-Willi syndrome, Neuroimage: Clinical, ISSN:2213-1582
et al., 2019, Interactive impact of childhood maltreatment, depression, and age on cortical brain structure: Mega-analytic findings from a large multi-site cohort, Psychological Medicine, ISSN:0033-2917
et al., 2018, Active Acquisition for multimodal neuroimaging, Wellcome Open Research, Vol:3, Pages:145-145