Projects

  • 2022 -     Implementation of the Multiregression Dynamic Model (MDM) method: A new library for Dynamic Bayesian Networks(DBN).

    An R package to fit and evaluate DBNs. The main focus is to study the causal links of time series in a dynamic context e.g the spread of a pathogen.

  • 2020 - 2022    Interactive platform for evaluating scenarios and mathematical models applied to Sars-CoV-2

    A tool that can be used by researchers, managers, among others, so that they can manipulate and work with mathematical modeling and obtain estimates and scenarios for epidemiological issues of surveillance and control of COVID-19.

    • Scholarship provided by Oswaldo Cruz Foundation - Fiocruz
    • Advisors: Juliane Fonseca de Oliveira, MORENO S. Rodigues and Pablo I. P. Ramos

  • 2019 - 2020    Impacts of climate change on microbiome, carbon fixation and water quality in aquifers

    Development of mathematical and statistical models to better understand the microbial communities ecological services for bioremediation and restoration of water quality in aquifers.

  • 2018 - 2019    Shiny Estatística!

    Development of an online system for the dissemination of statistical knowledge among high school students and teachers using Shiny, a framework in R language. The introductory module presents the theory and practice of using descriptive measures, data visualization and probability distribution functions.

    • Scholarship provided by Associação Brasileira de Estatística - ABE
    • Advisors: Anderson Luiz Ara Souza