Dr Martín López-García
- Position: Associate Professor
- Areas of expertise: stochastic processes; markov chains; population dynamics; epidemiology; immunology; cell signalling.
- Email: M.LopezGarcia@leeds.ac.uk
- Phone: +44(0)113 343 8951
- Location: Office 10.11 School of Mathematics Satellite
- Website: Martín López-García webpage | Scopus | Googlescholar | Researchgate | ORCID
Profile
Visit my Personal website
I am an Associate Professor in the School of Mathematics at the University of Leeds. During 2016-2019, I was an MRC fellow, being the PI for the MRC funded project - Mathematical modelling of the emergence and spread of antibiotic resistant bacteria in healthcare settings: a stochastic approach
In this project, my aim was to develop new stochastic models (and new mathematical tools for analysing them) regarding the spread of bacteria in hospital settings. A particular aim was to identify the most probable routes of bacterial spread in these settings, and to identify the most effective control strategies that can be applied, by using hospital data and Bayesian statistical techniques for parameter estimation.
I am a member of the Mathematical Biology and Medicine Group at the University of Leeds, and of the Stochastic Modelling Group at the Complutense University of Madrid. I carry out research in Mathematical Modelling in Health & Disease, and I am interested in a variety of processes involved in Infection & Immunity, including the analysis of the immune response, the within-host modelling of viral and bacterial infections, as well as the analysis of population-level epidemic processes.
Responsibilities
- School Academic Lead for Inclusive Practice
Research interests
My research interests range from Cell Biology (how cells react to their extracellular environment by means of proteins attached to their surface), to Mathematical Immunology (modelling the Immune response against pathogens such as virus and bacteria) and Mathematical Epidemiology (the mathematical modelling of the spread of infection among individuals in a population). For these systems, I mainly focus on stochastic approaches that allow to account for randomness, and more specifically I am an expert in the application of continuous-time Markov chains in these settings.
During 2016-2019, I was the Principal Investigator for the Medical Research Council funded project "Mathematical modelling of the emergence and spread of antibiotic resistant bacteria in healthcare settings: a stochastic approach". In this project, the main aim was to develop new stochastic models (and new mathematical tools for analysing them) regarding the spread of bacteria in hospital settings. An aim was to identify the most probable routes of bacterial spread in these settings, and to identify the most effective control strategies that can be applied, by using clinical/experimental data and Bayesian statistical techniques for parameter estimation.
More information about myself can be found at my Personal website and a list of my publications can be found at my Google Scholar Profile
<h4>Research projects</h4> <p>Some research projects I'm currently working on, or have worked on, will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>Research groups and institutes
- Applied Mathematics
Current postgraduate researchers
<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>Projects
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<li><a href="//phd.leeds.ac.uk/project/2105-mathematical-modelling-of-infection">Mathematical modelling of infection</a></li>