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<!DOCTYPE html>
<html lang="en" class="no-js">
<head>
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<title>Paschalis Agapitos - PhD Candidate in Computational Humanities</title>
<meta name="description" content="PhD candidate in Computational Humanities at DIPC. Experience in NLP, network science, and cultural analytics. Specializing in computational stylometry and digital humanities research.">
<meta name="keywords" content="Paschalis Agapitos, Computational Humanities, NLP, Network Science, Digital Humanities, Research, Machine Learning, Cultural Analytics, Stylometry">
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<li><a href="#about" class="nav-link active">About</a></li>
<li><a href="#research" class="nav-link">Research</a></li>
<li><a href="#publications" class="nav-link">Publications</a></li>
<li><a href="#projects" class="nav-link">Projects</a></li>
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<h2 class="cv-title" id="cvTitle">Curriculum Vitae</h2>
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<div class="cv-section">
<h3>Publications</h3>
<div class="cv-item">
<h4>Wikipedia as a cultural lens: a quantitative approach for exploring cultural networks</h4>
<div class="date">2025</div>
<div class="location">Humanities & Social Sciences Communications (Nature)</div>
<p>Co-authored research on cultural network analysis using Wikipedia data, exploring the quantitative methodologies for understanding cultural transmission patterns.</p>
</div>
<div class="cv-item">
<h4>A Stylometric Analysis of Seneca's disputed plays</h4>
<div class="date">2024</div>
<div class="location">Journal of Computational Literary Studies</div>
<p>Comprehensive authorship verification study using advanced computational stylometry techniques to analyze disputed classical texts.</p>
</div>
<div class="cv-item">
<h4>WikiTextGraph: A Python Tool for Parsing Multilingual Wikipedia Text and Graph Extraction</h4>
<div class="date">2025</div>
<div class="location">Journal of Open Research Software</div>
<p>Development and publication of an open-source Python library for extracting graph structures from multilingual Wikipedia content.</p>
</div>
</div>
<div class="cv-section">
<h3>Technical Skills & Expertise</h3>
<div class="cv-item">
<h4>Programming Languages</h4>
<p><strong>Python</strong> (4+ years) - Advanced proficiency in data science, NLP, and machine learning applications</p>
<p><strong>C++</strong> (1+ year) - Systems programming and performance-critical applications</p>
<p><strong>HTML/CSS/JavaScript</strong> (2+ years) - Full-stack web development and interactive visualizations</p>
</div>
<div class="cv-item">
<h4>Research Specializations</h4>
<p><strong>Machine Learning & AI</strong> - Deep learning, neural networks, and computational intelligence applications</p>
<p><strong>Natural Language Processing</strong> - Text analysis, linguistic modeling, and computational stylometry</p>
<p><strong>Network Data Science</strong> - Graph theory, complex networks, and social network analysis</p>
<p><strong>Data Science & Statistical Analysis</strong> - Statistical modeling, data visualization, and quantitative research methods</p>
</div>
<div class="cv-item">
<h4>Research Methodology</h4>
<p><strong>Computational Stylometry</strong> - Advanced techniques for authorship attribution and literary analysis</p>
<p><strong>Cultural Analytics</strong> - Digital humanities approaches to cultural data analysis</p>
<p><strong>Digital Humanities</strong> - Interdisciplinary research bridging computational methods and humanistic inquiry</p>
<p><strong>Complex Systems Analysis</strong> - Network theory applications in cultural and linguistic contexts</p>
</div>
</div>
<div class="cv-section">
<h3>Academic Service & Recognition</h3>
<div class="cv-item">
<h4>Peer Review Activities</h4>
<p><strong>Digital Scholarship in the Humanities (DSH)</strong></p>
</div>
<div class="cv-item">
<h4>Research Impact</h4>
<p><strong>Open Source Contributions:</strong> Active developer with multiple GitHub repositories</p>
<p><strong>Academic Collaboration:</strong> International research partnerships across multiple institutions</p>
</div>
</div>
</div>
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<h2 id="hero-title">Short bio</h2
<p class="description">
I am a PhD Candidate in Computational Humanities at the Donostia International Physics Center and the University of the Basque Country, where I build NLP and network science solutions for large-scale cultural and textual data.
I apply machine learning and deep learning to model complex systems—turning unstructured text into actionable insights.
With a background in Linguistics and extensive training in NLP, network data science, Big Data, and Deep Learning,
I have published peer-reviewed research and developed open-source tools such as WikiTextGraph for multilingual Wikipedia graph extraction.
Beyond academia, I have delivered end-to-end data science projects in overstock risk prediction and medical image classification.
I am seeking data science roles in NLP and network analytics where research-grade models translate into measurable, production-level impact.
Connect with me on LinkedIn or explore my GitHub to see my work.
<br><br>
</p>
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<h3>Quick CV Access</h3>
<div class="cv-preview-content">
<strong>PhD Candidate</strong><br>
Computational Humanities @ DIPC<br><br>
<strong>Research Interests:</strong><br>
• NLP & Network Science<br>
• Cultural Data Analytics<br>
• Computational Stylometry<br>
• Computational Humanities<br><br>
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<h2 class="section-title" id="research-title">Research Focus</h2>
<p class="section-subtitle">
Developing and using computational methods to understand human culture, language, and communication through interdisciplinary research.
</p>
<div class="cards-grid">
<article class="card research-card">
<h3>Computational Humanities</h3>
<p>Using and developing computational approaches to cultural phenomena, bridging computational methods and humanistic inquiry to uncover new patterns in human expression and cultural transmission.</p>
<div class="tags" role="list" aria-label="Research tags">
<span class="tag" role="listitem">Cultural Analytics</span>
<span class="tag" role="listitem">Computational Humanities</span>
<span class="tag" role="listitem">Wikipedia's network analysis</span>
</div>
</article>
<article class="card research-card">
<h3>Computational Stylometry</h3>
<p>Using and developing algorithms for authorship attribution, text analysis, and literary pattern recognition using advanced machine learning and statistical techniques.</p>
<div class="tags" role="list" aria-label="Research tags">
<span class="tag" role="listitem">Authorship Attribution</span>
<span class="tag" role="listitem">Literary Analysis</span>
<span class="tag" role="listitem">Forensic Linguistics</span>
</div>
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<article class="card research-card">
<h3>Network Data Science</h3>
<p>Exploring complex network structures in cultural and linguistic contexts, revealing hidden patterns in social dynamics, cultural evolution, and information networks.</p>
<div class="tags" role="list" aria-label="Research tags">
<span class="tag" role="listitem">Complex Networks</span>
<span class="tag" role="listitem">Social Dynamics</span>
<span class="tag" role="listitem">Graph Theory</span>
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<h2 class="section-title" id="publications-title">Publications</h2>
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<p><strong>Peer Reviewer:</strong> <a href="https://academic.oup.com/dsh" target="_blank" rel="noopener noreferrer">Digital Scholarship in the Humanities</a> (Oxford Academic)</p>
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<div class="cards-grid">
<article class="card publication-card">
<h3>WikiTextGraph: A Python Tool for Parsing Multilingual Wikipedia Text and Graph Extraction</h3>
<p class="card-meta">
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<span>Journal of Open Research Software (JORS), 2025</span>
</p>
<p><strong>Authors:</strong> Paschalis Agapitos, Juan Luis Suárez, Gustavo Ariel Schwartz</p>
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<a href="https://openresearchsoftware.metajnl.com/articles/10.5334/jors.572" class="btn" target="_blank" rel="noopener noreferrer" aria-label="Read full paper">
<i class="fas fa-file-alt" aria-hidden="true"></i>
<span>Paper</span>
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<span>Code</span>
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<span>Archive</span>
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<button class="citation-btn" onclick="sharePublication('wikitextgraph')" type="button" aria-label="Share WikiTextGraph publication link">
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</button>
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<div class="tags" role="list" aria-label="Publication tags">
<span class="tag" role="listitem">Wikipedia</span>
<span class="tag" role="listitem">Software Engineering</span>
<span class="tag" role="listitem">Data Mining</span>
<span class="tag" role="listitem">Graph Processing</span>
</div>
</article>
<article class="card publication-card">
<h3>Wikipedia as a cultural lens: a quantitative approach for exploring cultural networks</h3>
<p class="card-meta">
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<span>Humanities & Social Sciences Communications (Nature), 2025</span>
</p>
<p><strong>Authors:</strong> Luis A Miccio, Paschalis Agapitos, Carlos Gamez-Perez, Francisco González, Juan Luis Suárez, Gustavo Ariel Schwartz</p>
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<span>Nature - HSScomms</span>
</span>
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<span>High Impact</span>
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<span>6 Authors</span>
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<a href="https://www.nature.com/articles/s41599-025-04772-5" class="btn" target="_blank" rel="noopener noreferrer" aria-label="Read full paper in Nature">
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<span>Paper</span>
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<i class="fas fa-copy" aria-hidden="true"></i> Copy Citation
</button>
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<div class="tags" role="list" aria-label="Publication tags">
<span class="tag" role="listitem">Cultural Networks</span>
<span class="tag" role="listitem">Wikipedia Analysis</span>
<span class="tag" role="listitem">Complex Networks</span>
<span class="tag" role="listitem">Cultural Analytics</span>
</div>
</article>
<article class="card publication-card">
<h3>A Stylometric Analysis of Seneca's disputed plays</h3>
<p class="card-meta">
<i class="fas fa-calendar-alt" aria-hidden="true"></i>
<span>Journal of Computational Literary Studies (JCLS), 2024</span>
</p>
<p><strong>Authors:</strong> Paschalis Agapitos, Andreas van Cranenburgh</p>
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<span>Reproducible</span>
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<span>Classical Studies</span>
</span>
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<a href="https://jcls.io/article/id/3919/" class="btn" target="_blank" rel="noopener noreferrer" aria-label="Read full paper">
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<span>Paper</span>
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<span>Code</span>
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<div class="tags" role="list" aria-label="Publication tags">
<span class="tag" role="listitem">Stylometry</span>
<span class="tag" role="listitem">Forensic Linguistics</span>
<span class="tag" role="listitem">Classical Literature</span>
<span class="tag" role="listitem">Authorship Attribution</span>
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</article>
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<h3>CNN for Pneumonia Detection</h3>
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<span>2024 • 3 months</span>
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<p>A sophisticated Convolutional Neural Network application designed to assist healthcare professionals in detecting pneumonia and COVID-19 type pneumonia from patient X-rays. Built using TensorFlow and advanced computer vision techniques.</p>
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<h3>Cultural Analytics Guide</h3>
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<span>2022–Present • Ongoing</span>
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<p>A comprehensive, open-access textbook and educational resource teaching computational analysis of cultural phenomena. Developed following rigorous Open Science principles with full transparency, reproducibility, and collaborative methodology.</p>
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<span>2021 • 4 months</span>
</p>
<p>Advanced computational stylometric analysis of British political speeches, with particular focus on Winston Churchill's rhetorical patterns. Combines NLP techniques with historical political discourse analysis.</p>
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<span class="tag" role="listitem">Python</span>
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wikipedia: `Miccio, L. A., Agapitos, P., Gamez-Perez, C., González, F., Suárez, J. L., & Schwartz, G. A. (2025). Wikipedia as a cultural lens: a quantitative approach for exploring cultural networks. Humanities & Social Sciences Communications (Nature).`,
seneca: `Agapitos, P., & van Cranenburgh, A. (2024). A Stylometric Analysis of Seneca's disputed plays. Journal of Computational Literary Studies.`
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});
}
// ===================================
// Intersection Observer for Animations - Performance Optimized
// ===================================
const observerOptions = {
threshold: 0.1,
rootMargin: '0px 0px -50px 0px'
};
const observer = new IntersectionObserver((entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
entry.target.classList.add('visible');
// Trigger skill animation when skills section is visible
if (entry.target.id === 'skills') {
setTimeout(() => animateSkillBars(), 500);
}