ABOUT CLQ

I believe that molecular precision medicine will help cure  cogntion problems & brain diseases

~ CLQ ~


Dr Cristina Legido-Quigley is the Head of Systems Medicine at Steno Diabetes Center Copenhagen and an Associate Professor at King’s College London. 


Her main area of interest 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 span fatty molecules that are important for cognition, small molecules that in liver alert to tissue damage, together with modulating molecular pathways for improving the treatment of diabetes. She is also researching algorithms for better personalised diagnoses in the clinic.


She has been a group leader at King's College London since 2006. In 2018 she moved to Steno a hospital and research center in Denmark to be the Head of Systems Medicine. She shares her findings in scientific publications in the biotechnology and medical fields.

                                            




2022 Administrative Appointments

  • Head of Systems Medicine - Steno Diabetes Center Copenhagen, Denmark
  • Leadership Committee and Clinical Reseach Council, Steno Diabetes Center, Denmark 

Academic Appointments

    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

    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
      Honors & Awards
          • Honorary Professor, Guizhou Medical University, China
          • LundbeckFonden Ascending Investigator Award, Denmark
          • Gulbenkain Foundation Fellowship, Portugal

        Former Advisory 

        • 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


        Early career short bio She studied Chemistry at the University of Barcelona, and before completing her degree she moved to Iowa City, US to study Philosophy, Anthropology, Art and Creative Writing at Kirkwood Community College. She then moved to the UK and studied for a BSc in Chemistry at King's College London (Tutor: Prof. Mike Robb FRS). She did her BSc project in industry at Smith Kline Beecham investigating turboflow Liquid Chromatrography-Mass Spectroscopy, supervised by Dr. Vern de Biasi. Her degree was upgraded to a MSc finishing with another project on single-crystal X-ray diffraction in Prof. Jonathan Steed's Group. In 2004 she received her PhD with a thesis on nano and micro LC-MS at Imperial College London. Her doctorate was  supervised by Dr. Norman William Smith & Prof. Andreas Manz and funded by the BBSRC and Glaxo SmithKline. At the University of Pavia, Italy, she was a postdoc funded by the EU (FP5 funding) studying molecular interactions in Prof. Ersilia de Lorenzi's Group. After this, she joined as a postdoc funded by Roche Organ Transplant Research Fundation) at Imperial College in the Department of Medicine (heads of department/school Prof. Elaine Holmes & Prof. Jeremy Nicholson) and started working with organ tissue in LC-MS, Nuclear Magnetic Resonance and metabolomics. As an early career researcher she trained in education, obtaining a postgraduate certificate in higher education and in data science.