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Achievement: Pull Shark

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G-Vian/README.md

Hi there, I'm Gabriel Vian! 👋

I am a PhD student in Physics at the Institute of Theoretical Physics-UNESP, transitioning from high-energy particle physics (CMS-CERN) to the study of complex systems and spatial epidemiology.

My current research focuses on how urban connectivity, climate, and socio-environmental factors shape the spread of infectious diseases like dengue.

🔬 What I'm working on

  • Spatial Epidemiology: Building Bayesian hierarchical spatiotemporal models.
  • Tools of work: R-INLA, DLNM, and Geospatial data analysis.
  • Network Science: Developing weighted spatial graphs to model human mobility and epidemic pathways.

💻 Tech Stack

  • Languages: R, Python, C++,
  • Tools: INLA, PyROOT, LaTeX, Git

📫 How to reach me: [www.linkedin.com/in/gabriel-vinicius-vian-2a3321142],

E-mail: gabriel.vian@unesp.br

Pinned Loading

  1. Rodovias_ESP Rodovias_ESP Public

    Este repositório dedica-se à formulação de grafos com arestas ponderadas utilizando dados de tráfego intramunicipais do Estado de São Paulo (ESP). O material gerado aqui é projetado para ser utiliz…

    R 1

  2. INLA_ESP INLA_ESP Public

    Reproducible code for a Bayesian hierarchical spatio-temporal model of monthly dengue incidence across the 645 municipalities of São Paulo State, Brazil, fitted with integrated nested Laplace appro…

    R

  3. bayesian-endemic-channels-meningitis bayesian-endemic-channels-meningitis Public

    Bayesian endemic channels (INLA) for meningitis surveillance in São Paulo, Brazil — predictive historical bands, vaccine-coverage counterfactuals, and predictive validation from SINAN data.

    R 1

  4. landsat-ndvi-lst landsat-ndvi-lst Public

    Modular R pipeline for deriving NDVI and land surface temperature time series from Landsat Collection 2 Level-2 imagery, with zonal statistics for any user-supplied area of interest.

    R 1