Contact information
Chris Hinds
BA (Hons), MSc, DPhil
Senior Research Fellow
Digital Phenotyping & Brain Health
Chris Hinds holds the Robertson Foundation Fellowship in Digital Phenotyping at the Oxford University Big Data Institute. His research involves the development of novel digital phenotyping approaches and their application in large cohorts. His group has recently developed the Mezurio smartphone app.
He is PI of the open source Digital Biomarkers for Dementia project co-funded by Roche and Lilly. This work seeks to create smartphone-based, active and passive assessments of cognition and daily function targeted at earliest identification of prodromal Alzheimer's Disease. He is also developing digital phenotyping approaches for Parkinson’s, Mood, & cognition. His True Colours platform has collected more than 1M self-reports from over 35,000 patients. He is technical lead for the Cognitive Health & Neurosciences Clinical Trials Unit, and Digital Device lead for the Oxford Health Biomedical Research Centre.
Before joining the BDI, Chris was a Senior Research Fellow at the Oxford University Department of Psychiatry and the Head of Applications Development for Oxford Health NHS FT. He has played a significant role at several health-tech startups, and lectured extensively for the Oxford University Software Engineering Programme. His DPhil, undertaken at the Oxford University Computing Laboratory, considered methodologies for the design of digital health technologies, especially those using ethnographic methods; his undergraduate degree is in Computation, also from the Oxford University Computing Laboratory.
Recent publications
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Journal article
McKnight RF. et al, (2017), Journal of affective disorders, 223, 139 - 145
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Journal article
Freeman D. et al, (2017), The lancet. Psychiatry, 4, 749 - 758
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Psychoeducation and online mood tracking for patients with bipolar disorder: A randomised controlled trial.
Journal article
Bilderbeck AC. et al, (2016), Journal of Affective Disorders, 205, 245 - 251
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Large-scale roll out of online prospective measurement of mood symptoms in affective disorders
Conference paper
Knott S. et al, (2016), BIPOLAR DISORDERS, 18, 185 - 186
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Journal article
Geddes JR. et al, (2016), Lancet Psychiatry, 3, 31 - 39
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Journal article
Gulati G. et al, (2016), J Forensic Psychol Pract, 16, 49 - 59
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Cognitive assessments using mobile technologies: moving beyond the inflection point
Report
Ash J. et al, (2015)
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Comparative evaluation of quetiapine plus lamotrigine versus quetiapine monotherapy in people with bipolar depression: a randomized trial (CEQUEL)
Journal article
Geddes JR. et al, (2015), BIPOLAR DISORDERS, 17, 50 - 51