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denisecammarota/README.md

Denise Cammarota (she/her)

About me ⚡

I am a PhD student in Physics at the Instituto de Física Teórica of UNESP (IFT-UNESP), in Sao Paulo, Brazil. I also hold a BSc and Msc in Physics from Instituto Balseiro, in Argentina. My current PhD research mathematical modeling of infectious diseases - more specifically arboviruses (dengue/chikungunya) and measles - using data analysis, mechanistic models and machine learning. I am particularly interested in climate and susceptibility heterogeneities and their impacts on epidemic dynamics. Furthermore, I also have experience in developing data-driven solutions for epidemiological surveillance of measles and SARI, such as data analysis, dashboards, reports and risk estimation tools.

Highlighted repositories 🌱

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  1. poo-project poo-project Public

    Final project for Object Oriented Programming subject at Instituto Balseiro. Epidemic simulations with code in C++ and documentation in Spanish.

    C++

  2. covid-corr-paper covid-corr-paper Public

    Data and codes in R for paper in writing on the initials of COVID-19 propagation in Argentina. Work in progress.

    R 1

  3. measles-BR measles-BR Public

    Scripts to download and analyze the data on measles cases in Brazil, as provided by SINAN.

    Jupyter Notebook 1

  4. dengue-AR dengue-AR Public

    Scripts to download and analyze the publicly available data on Dengue and Zika in Argentina, provided by the Argentinian Ministry of Health (work in progress).

    Jupyter Notebook

  5. HIT-dynamics HIT-dynamics Public

    stochastic simulations with the Gillespie Tau Leap algorithm for vaccine preventable diseases near the HIT

    Jupyter Notebook

  6. pinn-infectious-disease pinn-infectious-disease Public

    Examples of Physics Inspired Neural Networks (PINNs) for mathematical modeling of infectious diseases. Solving and parameter inference on the SI and SIR models.

    Jupyter Notebook 2