My pronouns are he/him
My research focuses on the application of statistical methods, in particular Bayesian statistics, for the understanding of biological questions (i.e. biostatistics). Currently I work on the development of Bayesian human mobility models, with possible integration of machine learning techniques, to aid the understanding of disease spread. In previous work I have focused on experimental psychology and neuroscience, in particular on aspects of language, emotion, and the spatiotemporal analysis of electroencephalography. Nowadays, I have channelled this knowledge and skills to the understanding of human mobility patterns and their relationship with infectious diseases. One of the main goals of my current work is to develop models that have both inferential and predictive capacity, so they can be a useful scientific and practical tool for the understanding and assessment of disease spread. To this aim we are exploring mobility models, such as gravity, radiation and visitation models and their translatability to Bayesian hierarchical structures. Following work should involve the application of Bayesian process models to the understanding of disease spread. A further aim would be the integration of these types of models to understand the effects of human behaviour on disease spread.
