Computational Humanities
Using and developing computational approaches to cultural phenomena, bridging computational methods and humanistic inquiry to uncover new patterns in human expression and cultural transmission.
Open to DS Roles
PhD Candidate · Computational Humanities
Paschalis Agapitos
NLP & Network Data Scientist
I build NLP and network science pipelines for large-scale cultural and textual data at the DIPC and the University of the Basque Country.
With a background in Linguistics and deep expertise in machine learning, deep learning, and NLP, I have published peer-reviewed research and developed open-source tools — including 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 production-level impact.
Research Focus
Developing and using computational methods to understand human culture, language, and communication through interdisciplinary research.
Computational Stylometry
Using and developing algorithms for authorship attribution, text analysis, and literary pattern recognition using advanced machine learning and statistical techniques.
Network Data Science
Exploring complex network structures in cultural and linguistic contexts, revealing hidden patterns in social dynamics, cultural evolution, and information networks.
Publications
Peer Reviewer: Digital Scholarship in the Humanities (Oxford Academic)
JORS · 2025
WikiTextGraph: A Python Tool for Parsing Multilingual Wikipedia Text and Graph Extraction
Authors: Paschalis Agapitos, Juan Luis Suárez, Gustavo Ariel Schwartz
Open Source
Zenodo Archive
GitHub Repository
Nature · HSScomms · 2025
Wikipedia as a cultural lens: a quantitative approach for exploring cultural networks
Authors: Luis A Miccio, Paschalis Agapitos, Carlos Gamez-Perez, Francisco González, Juan Luis Suárez, Gustavo Ariel Schwartz
Nature - HSScomms
High Impact
6 Authors
JCLS · 2024
A Stylometric Analysis of Seneca's disputed plays
Authors: Paschalis Agapitos, Andreas van Cranenburgh
Peer Reviewed
Reproducible
Classical Studies
Featured Projects
Showcasing innovative applications of computational methods in healthcare, education, and cultural analysis.
CNN for Pneumonia Detection
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.
Cultural Analytics Guide
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.
British Political Speeches Analysis
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.
Blog
Long-form project writing focused on technical decisions, experimental design, and the lessons hidden behind the headline metric.
Medical AI · Computer Vision · Model Auditing
When High Accuracy Lies: Building and Auditing a CNN for Pneumonia Detection
This article follows the project from the first baseline CNN to the moment explainability exposed a more important result than accuracy itself: the model was learning to trust image borders rather than lung pathology.
Technical Skills & Expertise
Comprehensive expertise across programming languages, machine learning, and computational research methodologies.
Python
★★★ Expert
Machine Learning
★★☆ Advanced
NLP
★★★ Expert
Network Data Science
★★☆ Advanced
Data Science & Visualization
★★★ Expert
Statistical Analysis
★★★ Expert
Web Development
★☆☆ Intermediate
C++ Programming
★☆☆ Intermediate