Recent advances in Biology and Medicine have led to accumulation of data sets that are enormous in both size and complexity. This avalanche of data has then been met with increasingly complex mathematical and statistical methods, designed to answer increasingly complicated quantitative questions. It is fair to say, however, that methodological developments have struggled to keep pace.
In this talk I shall give a few examples of the challenges involved in bridging the data we have and the questions we would like to answer, with particular focus on Epidemiology.
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* Seminar participants will not be able to access FGV premises wearing shorts, flip-flops, top or cropped tshirts, miniskirt or tank top. The use of the mask and the presentation of proof of vaccination (physical or digital) will be mandatory.
Apoiadores / Parceiros / Patrocinadores
Luiz Max Fagundes
Holds a BSc in Microbiology and Immunology from the Federal University of Rio de Janeiro (UFRJ) and a PhD in Evolutionary Biology from the University of Edinburgh (UK). His interests lie in applied (Bayesian) biomedical statistics, with special focus on Markov chain Monte Carlo on discrete spaces, density combination methods and statistical modelling in Medicine, Genetics and related areas.