Alejandra Vergara-Lope
PhD
Postdoctoral Researcher in Statistical Genomics
Alejandra is a postdoctoral scientist based at the Big Data Institute, University of Oxford, supervised by Dr Daniel Wilson. Her work involves using pathogen genetic sequence data to understand patterns of disease transmission. More specifically, her work focuses on developing statistical methods for tracking the geographical spread of extremely drug-resistant bacteria for joint human-pathogen genome-wide association studies and creating big data analysis methods.
Alejandra did an integrated PhD in Next Generation Computational Modelling with the Centre for Doctoral Training at the University of Southampton funded by Engineering and Physical Sciences Research Council (EPSRC), UK and The National Council Science and Technology (CONACyT), Mexico. Alejandra undertook her research project within the genomic informatics group under the supervision of Professor Andrew Collins and Dr Reuben Pengelly, working on the application of mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction.
Recent publications
Metabolomic Profile of Genetic Liability to Type 2 Diabetes Among 125,000 Mexican Adults: A Mendelian Randomization Study.
Journal article
Bragg F. et al, (2026), Diabetes care
Polygenic prediction of coronary heart disease among 130 000 Mexican adults.
Journal article
Liu T. et al, (2026), European journal of preventive cardiology, 33, 415 - 423
Blood Pressure and Mortality in Mexico City: A Mendelian Randomization Study.
Journal article
Turner M. et al, (2025), Hypertension (Dallas, Tex. : 1979), 82, 1896 - 1905
A Mendelian randomization study of the effect of body mass index on 52 causes of death among 125 000 Mexican adults with admixed ancestry.
Journal article
Gnatiuc Friedrichs L. et al, (2025), International journal of epidemiology, 54