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gAldeia/README.md

Hello there 🙃

About me

I earned my PhD in Computer Science in November 2025 at the Federal University of ABC (UFABC), in Santo André, Brazil. My research focuses on genetic programming and its applications in the health sciences, including symbolic regression, machine learning applied to fMRI data, and explainable artificial intelligence. More broadly, I am interested in evolutionary computation, interpretability in machine learning, and computational models of neural information processing.

I hold Bachelor’s degrees in Science and Technology (2019), Computer Science (2020), and Neuroscience (2023). I completed my Master’s degree in Computer Science at UFABC in early 2022 and continued there for my PhD (2022–2025).

In 2023, I was awarded a Doctorate Sandwich grant from CAPES—Brazil, which allowed me to spend six months as a visiting researcher at Boston Children’s Hospital / Harvard Medical School, working at the cavalab.

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Publications

You can find a list of all publications where I am the first author and I host the source code in my GitHub below, ordered chronologically (from first to last).

For a full list, check my cv.

My research

My github stats

gAldeia's github activity

Languages

I've learned several languages throughout my academic life, some better than others. My main languages now are Julia and Python, the ones that I have a greater domain. Throughout my academic life, I also used other languages in my projects, such as R, C++, javascript, and Java.

Julia Python C++ R JavaScript Java

As for my GitHub repositories, there is some statistics about the languages I've used:

Top Langs


Last Edited on: 05/12/2022

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  1. itea-python itea-python Public

    Package for Interaction-Transformation Evolutionary Algorithm implementation (ITEA) in python for Classification and Regression, together with an model-specific explainer.

    Jupyter Notebook 3 1

  2. iirsBenchmark iirsBenchmark Public

    Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML 2

  3. laboratory-assistant laboratory-assistant Public

    Lightweight Symbolic Regression using the Interaction-Transformation representation, implemented in JavaScript to run on websites (executed on client-side).

    JavaScript 1

  4. itea-julia itea-julia Public

    Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook 1

  5. sensitivity-analysis-ITSR sensitivity-analysis-ITSR Public

    Repository with source code used to perform a sensitivity analysis of the symbolic regression evolutionary algorithm based on the Interaction-Transformation representation.

    Jupyter Notebook 1

  6. presentations presentations Public

    Repositório para organizar minhas apresentações e disponibilizá-las.

    1