Lourdes CUCURULL SÁNCHEZ
Scientific Leader a GSK, Stevenage
Postgraduate studies in United Kingdom, 1993
Dr. Lourdes Cucurull-Sanchez is a Systems Pharmacologist within the R&D/Quantitative Sciences Division, Computational Biology Department at GSK. Previously she was a Systems Pharmacology PKPD modeller in PDM Translational Research Pfizer. She has developed pathway, physiological and PKPD models that take into account the mechanism of the disease and of drug delivery. She has used those mathematical models to influence decisions in the Pfizer portoflio, centered in inflammatory pathways and endothelial permeability for respiratory, gastrointestinal and genitourinary indications. She has dealt with several therapeutic modalities, including small molecules and biotherapeutics like siRNA, monoclonal antibodies and aptamers.
Prior to shifting her career to Systems Pharmacology, she worked at Pfizer as an in silico ADME specialist, when she developed several in-silico ADME predictive models based on end-points relevant to Drug Metabolism and Pharmacokinetics (DMPK). Thanks to her work on pair-wise analysis and reverse QSAR, in 2007 she received a W.E. Upjohn Award for her outstanding contributions and accomplishments in the area of Innovation. As chair of the global in silico ADME network within Pfizer she co-ordinated external collaborations as well as internal efforts to develop and promote the in silico ADME discipline.
Prior to joining Pfizer in 2004, she was appointed as postdoctoral research associate at the University of Cambridge. Sponsored by Unilever, she applied in silico modelling techniques to several ADME problems, including oral bioavailability and absorption mechanisms. She obtained her PhD in Chemistry in 2000 at the Universitat Autonoma de Barcelona, where she carried out several quantum ab initio and molecular calculations to assist the bioinorganic chemical modelling of copper proteins. In 1995 she obtained an MPhil in Chemistry at The University of Newcastle upon Tyne after one year of research on X-ray structures of metal complexes.
Specialties:Systems Pharmacology, Systems Biology, PKPD modelling, PK modelling, Mathematical Modelling, Modelling and Simulations, In silico ADME, Computational Chemistry
Studies pursued with the fellowship
Type of studies
Master degree or equivalent
Host university or research centre
Speciality of studies pursued with the fellowship
Universitat Autònoma de Barcelona
Your fellowship code is . You have to include it in all the publications or dissemination materials you create which are related to the research funded by the ”la Caixa” fellowship. Particularly, this mention should read as follows: “The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation (ID 100010434). The fellowship code is ”.