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denisecammarota/README.md

Hi there, I'm Denise 👋

👧 I am a PhD student in Physics at IFT (Institute of Theoretical Physics) of the UNESP University in Sao Paulo, Brazil. My PhD research encompasses epidemic modeling of tropical diseases. My main research interests include mathematical epidemiology and ecology. I hold a MSc and BSc in Physics from Instituto Balseiro, an engineering and physics institute in my home country of Argentina. Throughout my MSc research, I studied the spread of COVID-19 in Argentina, using government data.

💻 I am most proficient in Python, R and C/C++ programming languages. Additionally, I have knowledge of SQL and basic HTML.

⚛️ I have skills in mathematical modeling, statistics, programming, data science, machine learning and deep learning acquired by my training as a physicist and as a researcher, as well as self-study.

🔭 I am interested in learning more about data science and machine learning, cloud services and web development.

🌱 I am currently learning the Julia language.

⚡ I am also very interested in human languages, including Spanish, English, Portuguese and French.

📫 How to reach me: @DeniseSCamm on Twitter, [email protected] for emails.

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  1. 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 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. dengue-BR Public

    Codes for processing data on Dengue in Brazil, downloaded from SINAN, between 2000 and 2021.

    Jupyter Notebook 1

  4. measles-BR Public

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

    Jupyter Notebook 1

  5. 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).

    Python

  6. HIT-dynamics Public

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

    Jupyter Notebook

155 contributions in the last year

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Activity overview

Contributed to denisecammarota/dengue-chik-symptoms, denisecammarota/HIT-dynamics, denisecammarota/random-plots and 6 other repositories
Loading A graph representing denisecammarota's contributions from March 24, 2024 to March 25, 2025. The contributions are 98% commits, 2% issues, 0% pull requests, 0% code review.

Contribution activity

March 2025

24 contributions in private repositories Mar 1 – Mar 22
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