Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Dr Alejandra Vergara-Lope

Dr Alejandra Vergara-Lope

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.