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70 followers · 36 following

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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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gAldeia/README.md

Hello there 🙃

About me

I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.

I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026. My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.

My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.

Linkedin BadgeGithub BadgeGoogle Scholar

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.

JuliaPythonC++RJavaScriptJava

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

Top Langs

Last Edited on: 05/12/2022

Pinned Loading

  1. itea-pythonitea-pythonPublic

    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. iirsBenchmarkiirsBenchmarkPublic

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

    HTML 2

  3. laboratory-assistantlaboratory-assistantPublic

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

    JavaScript 1

  4. itea-juliaitea-juliaPublic

    Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook 1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic

    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. presentationspresentationsPublic

    Repositório para organizar minhas apresentações e disponibilizá-las.

    1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
View gAldeia's full-sized avatar
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70
followers
 · 36
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Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Highlights
  • 
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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View gAldeia's full-sized avatar
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🎓
Focusing
70
followers
 · 36
following

Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Highlights
  • 
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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View gAldeia's full-sized avatar
🎓
Focusing
🎓
Focusing
70
followers
 · 36
following

Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Highlights
  • 
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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View gAldeia's full-sized avatar
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🎓
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70
followers
 · 36
following

Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Highlights
  • 
Pro


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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View gAldeia's full-sized avatar
🎓
Focusing
🎓
Focusing
70
followers
 · 36
following

Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Highlights
  • 
Pro


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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
View gAldeia's full-sized avatar
🎓
Focusing
🎓
Focusing
70
followers
 · 36
following

Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
Highlights
  • 
Pro


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gAldeia/README.md
Hello there 🙃
About me
I earned my PhD in Computer Science in December 2025, focusing on the computational study and algorithmic improvement of symbolic regression methods and benchmarks, at Federal University of ABC (UFABC) in Brazil.
I am currently a postdoctoral researcher at CavaLab, where he joined in February 2026.
My current work includes developing methods and applications of symbolic regression and large language models for healthcare, with an emphasis on interpretable decision-making and predictive modeling. I also work on machine learning models using fMRI data and neural network applications for temporal data.
My research interests include model interpretability, data visualization, explainable AI, and healthcare prediction and modeling.
Linkedin BadgeGithub BadgeGoogle Scholar
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.
JuliaPythonC++RJavaScriptJava
As for my GitHub repositories, there is some statistics about the languages I've used:
Top Langs
Last Edited on: 05/12/2022

Pinned
Loading
  1. itea-pythonitea-pythonPublic
    
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. iirsBenchmarkiirsBenchmarkPublic
    
Repository presented in the paper "Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set"

    HTML
2

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

    JavaScript
1

  4. itea-juliaitea-juliaPublic
    
Interaction-Transformation Evolutionary Algorithm in julia with different optimization heuristics

    Jupyter Notebook
1

  5. sensitivity-analysis-ITSRsensitivity-analysis-ITSRPublic
    
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. presentationspresentationsPublic
    
Repositório para organizar minhas apresentações e disponibilizá-las.

    
1