I obtained a BSc in Mathematics at Universidad de los Andes (Bogota, 2008) and an MSc in Statistics at Université Pierre et Marie Curie (Paris, 2010), followed by a PhD in Biostatistics at Université Paris-Sud (Paris, 2014). My PhD project focused on methods to deal with missing outcomes, specifically in two settings: longitudinal data with informative drop-out and time-to-event data with competing risks. In 2014 I held a postdoctoral role at the French Epidemiology Centre on Medical Causes of Death (Inserm CépiDc). The work I started there followed from my research on survival analysis with competing risks data, and focused mainly on two topics related to the analysis of cause-specific mortality: the development of indices to measure socioeconomic inequalities in mortality, and the development of a model for multiple-cause mortality (i.e. when death is caused by more than one disease). Since late 2014, I am a Research Fellow of the Victorian Centre for Biostatistics (ViCBiostat), a collaboration of researchers across three institutions (University of Melbourne, Murdoch Children’s Research Institute and Monash University). My methodological research here has been on three broad areas: missing data, with a focus on methods for “missing not at random”; survival analysis, with a focus on joint models for longitudinal and time-to-event data; and causal inference. This research is fuelled by various collaborative projects I am involved in, particularly in child and adolescent health. See my website (https://moreno-betancur.github.io/) and GitHub (https://github.com/moreno-betancur) for more details and software resources.