Imperial College London

Dr Lucia M. Li

Faculty of MedicineDepartment of Brain Sciences

Clinical Lecturer (Neurology)





Burlington DanesHammersmith Campus





I am an NIHR Clinical Lecturer in Neurology. My subspecialty interest is Traumatic Brain Injury, and my academic work is strongly influenced by my clinical practice in this area. My research uses multimodal methods to assess outcomes and treatments for the consequences of traumatic brain injury (TBI). My most recent projects have used novel combined brain stimulation-brain imaging techniques to investigate the potential for brain stimulation as a treatment for cognitive deficits after TBI.

My current work is in 3 strands:

(1) Investigating and treating autonomic & emotional function after TBI, using multimodal techniques (advanced MRI, pupillometry, non-invasive stimulation),

(2) Characterising post-TBI inflammation and its consequences, and

(3) Using wearable technology and remote monitoring, combined with machine learning techniques, to understand 'real world' recovery after TBI.

I am also working to highlight the inadequacy of current clinical care pathways for TBI patients, and to try to improve that. I enjoy teaching and outreach activities, and currently act as a Trustee for Headway West London, a charity supporting survivors of brain injury.

Open to applications from prospective summer/graduate students and consulting requests (via Imperial Consultants:



Li L, Heselgrave A, Soreq E, et al., 2023, Investigating the characteristics and correlates of systemic inflammation after traumatic brain injury: the TBI-BraINFLAMM study, Bmj Open, Vol:13, ISSN:2044-6055

Parkinson M, Dani M, Fertleman M, et al., 2023, Using home monitoring technology to study the effects of traumatic brain Injury in older multimorbid adults: protocol for a feasibility study, Bmj Open, Vol:13, ISSN:2044-6055

Del Giovane M, Trender WR, Bălăeţ M, et al., 2023, Computerised cognitive assessment in patients with traumatic brain injury: an observational study of feasibility and sensitivity relative to established clinical scales, Eclinicalmedicine, Vol:59, ISSN:2589-5370

David MCB, Kolanko M, Del Giovane M, et al., 2023, Remote monitoring of physiology in people living with dementia: an observational cohort study, Jmir Aging, Vol:6, ISSN:2561-7605, Pages:1-14


Rosnati M, Soreq E, Monteiro M, et al., 2022, Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury, 5th International Workshop, MLCN 2022, Springer Nature Switzerland, Pages:135-146, ISSN:0302-9743

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