M. (Mar) Rodríguez-Girondo, PhD

I am a biostatistician specializing in statistical omics, with a deep interest in ageing and hereditary cancer research. I joined Leiden University Medical Center (LUMC) in November 2013, first as a postdoctoral researcher and since 2017, as an assistant professor. My role involves developing and applying statistical methods to analyze complex biomedical datasets, often involving (multiple) high dimensional data and/or complex time-to-event outcomes.

In June 2013, I earned my Ph.D. in Statistics from the University of Santiago de Compostela, Spain, which included a pre-doctoral research stay at the University of Göttingen, Germany in 2012. At LUMC, I have expanded my research to include the development of methods to analyze correlated survival data sampled under non-random schemes and integrating high-dimensional omics datasets for predictive modeling.

My primary research areas encompass the development of methods for analyzing statistical omics, complex time-to-event data, and family data sampled under complex designs. My work aligns closely with the LUMC innovation themes Lifecourse Epidemiology and Geroscience (LEGend) and Medical Genomics, in both of which I am actively involved through multidisciplinary investigations. Currently, I am contributing to ZonMw-funded projects by developing new methods for biological age prediction, extending additive hazards regression modeling to quantify excess hazards in the context of pandemics, and creating optimal sample selection strategies for family-based longevity studies.