Dr Kimberley Whitehead PhD

Dr Whitehead is a HCPC-registered Clinical Scientist in Neurophysiology. She has a special interest in neuromonitoring technologies applied to neonatal/developmental, critical care and sleep medicine, and epileptology. Her research is highly cross-disciplinary, inspired by ideas from pre-clinical models and fundamental biosciences, and maths and computer science.

Dr Whitehead qualified clinically in 2010. While working in the NHS, she conducted research into seizure disorders. She then moved to the Department of Neuroscience, Physiology and Pharmacology (NPP) at University College London (UCL), and completed a PhD in neonatal brain development. Between 2019-2023 she was a Principal Investigator at UCL, and co-affiliated to the Institute for Women’s Health alongside NPP, to apply insights from fetal medicine to her neurology research. From late 2023, Dr Whitehead has been a Senior Lecturer at King’s College London, in the Research Division of Applied Technologies for Clinical Care.

Teaching

Dr Whitehead supervises MSc projects for three of the college’s health faculties (her own Faculty of Nursing, Midwifery & Palliative Care; Faculty of Life Sciences & Medicine; Institute of Psychiatry, Psychology & Neuroscience:

• 7KANP005 Enhanced Clinical Practice Dissertation
• 7KNIM790 Quality Improvement Dissertation
• 7MRI0110 Extended Individual Research Project in Healthcare Technologies
• 7PAPNDIS Dissertation in Clinical Neuroscience

She teaches on these post-graduate modules:

• 6KNIF316 Neonatal Intensive Care
• 7KANP124 Impact of Illness on the Individual and Society
• And this MSc/BSc module: IPE2324PPS Interprofessional Education - Promoting Patient Safety

She also offers research elective placements for BSc Nursing students.

Dr Whitehead is proud to be a mentor on the college’s Into Academia Ethnic Minority mentoring scheme for students (https://www.kcl.ac.uk/professional-services/mentoring#section-4).

Supervision

Dr Whitehead welcomes interest from prospective PhD/post-graduate students in areas centred on or interfacing with her research topics, and is experienced in supervising quantitative projects. She holds large fetal and infancy datasets, providing opportunities for innovative post-graduate projects addressing developmental medicine.