Dr Cristina Legido-Quigley is a Reader in the Institute of Pharmaceutical Science. Her main field of research is neurometabolism and how the brain copes with disease, as well as finding clinical tests for healthy aging, Alzheimer's, cognition, diabetes, and metabolic diseases. Her discoveries include fatty molecules that are important for cognition, small molecules that alert to tissue damage in liver, lipid profiles that predict cardiometabolic disease in children and adults, together with modulating molecular pathways for improving the treatment of diabetes and dementias. She is also researching algorithms for personalized medicine in the clinic.

She has been a group leader at King's College London since 2006. In 2018 she moved to Steno Diabetes Center, a hospital and research center in Denmark to be the Head of Systems Medicine. She shares her results in 150+ peer-reviewed publications in the biotechnology and clinical fields. She has advised several companies on biotechnology and founded the company BrainLogia.

Academic Appointments:

• Reader, Systems Medicine, Institute of Pharmaceutical Science, Life Science & Medicine - King's College London, UK.
• Head of Systems Medicine - Steno Diabetes Center Copenhagen, Denmark.
• Leadership Committee and Clinical Research Council, Steno Diabetes Center

Boards, Advisory Committees:

International Scientific Advisory Board Member, Alzheimer's Fondation, Paris, France Member, Steering Committee CBMR Metabolomics Core University of Copenhagen, Denmark Member, Steering Committee Galaxy H2020, EU, Founding Member & Diversity, Equality & Inclusion Member, Clinical Metabolomics Copenhagen, Denmark, Founding Member, London Metabolomics Network, UK. International Grant Review Panel, Research Council of Biosciences, Health and the Environment, Helsinki, Finland Advisory Board Member, Institute Pasteur, Lille, France. Managing Board (EFPIA) IMI Consortia, EU. Reader for L’Oréal-UNESCO UK & Ireland For Women In Science Programme Awards, UK

Honors & Awards

• Honorary Professor, Guizhou Medical University, China.
• LundbeckFonden Ascending Investigator Award, Denmark

Professional Education

• PhD, DIC, Imperial College London, Chemistry, UK
• MSci, King's College London, Chemistry, UK
• BSc, King's College London, Chemistry, UK
• Professional Certificate in Data Science, EDX (R:, Visualization, Probability, Inference & Machine Learning) HarvardX, US
• Prediction Modelling and Machine Learning Course, King's College London, Biostatistics, UK
• Postgraduate Certificate in Academic Practice, King's College London, Education, UK