nevmenandr
@nevmenandr
Boris Orekhov
Quantitative Literary Studies · Corpus Linguistics · AI & Poetry
About
Digital Humanities researcher
Top Skills
Python
•
R
•
NLP
•
Stylometry
•
Hugging Face
•
Corpus Linguistics
•
Git
•
LaTeX
Experience
Senior Researcher
Pushkin House (IRLI RAS)
Mar 2022 - PresentDigital Textology, Literary Data Science
Associate Professor
HSE University
Mar 2013 - PresentDigital Humanities, NLP, Stylometry, Python Teaching
Researcher
Bashkir State University
Sep 2011 - Sep 2014Corpus Linguistics, Minority Languages
Senior Lecturer
Bashkir State Pedagogical University
Sep 2006 - Jan 2011Senior Lecturer
Education
Bashkir State University
Master's, Philology
2003 - 2005Thesis Research: Russian poetry and literary tradition
Coursework: Literary theory, Slavic linguistics, comparative literature, textology
Relevant Skills: Close reading, textual analysis, literary historiography
Bashkir State University
Bachelor's, Philology
1999 - 2003Major: Russian Language and Literature
Coursework: Russian literature, linguistics, folklore, literary criticism
Academic Foundation: Prepared for graduate research in philology and computational approaches to literature
Projects
Language & Tools
Languages:
Python, R, PHP, Perl, (La)TeX
Frameworks & Libraries:
Hugging Face Transformers, spaCy
Tools & Platforms:
Git, Docker, Linux, Nginx
Data Science Stack:
Pandas, NumPy, Scikit-learn, Jupyter
Linguistic & DH Tools:
NLTK, Stanza, Gephi, OpenRefine
Other:
SQL, Web Scraping (Scrapy/Selenium), Typography & Font Design
Python, R, PHP, Perl, (La)TeX
Frameworks & Libraries:
Hugging Face Transformers, spaCy
Tools & Platforms:
Git, Docker, Linux, Nginx
Data Science Stack:
Pandas, NumPy, Scikit-learn, Jupyter
Linguistic & DH Tools:
NLTK, Stanza, Gephi, OpenRefine
Other:
SQL, Web Scraping (Scrapy/Selenium), Typography & Font Design
Currently Exploring
- LLM interpretability & explainability (mechanistic interpretability)
- Multimodal AI (text + geospatial data)
- Agentic workflows for literary research
- AI-generated poetry evaluation & human-AI co-creativity
- Advanced stylometry for medieval and non-Western texts
- Multimodal AI (text + geospatial data)
- Agentic workflows for literary research
- AI-generated poetry evaluation & human-AI co-creativity
- Advanced stylometry for medieval and non-Western texts
Achievements
- Contributed to Russian National Corpus development (social media, newspaper, accentological subcorpora)
- Developed 15+ open datasets for stylometry, literary geography, and corpus linguistics
- Published 60+ papers on digital humanities, stylometry, and verse studies
- Editor-in-Chief of two academic journals (Digital Humanities Research, Nazirov Archive)
- Book author: "Electronic Lyre" (2026) and "Bashkir Verse of the 20th Century" (2019)
- Invited researcher at universities in France, Norway, and Russia
- Developed 15+ open datasets for stylometry, literary geography, and corpus linguistics
- Published 60+ papers on digital humanities, stylometry, and verse studies
- Editor-in-Chief of two academic journals (Digital Humanities Research, Nazirov Archive)
- Book author: "Electronic Lyre" (2026) and "Bashkir Verse of the 20th Century" (2019)
- Invited researcher at universities in France, Norway, and Russia
Random Dev Quote
My favorite data structure is the novel. Unstructured, full of noise, but the signal is always worth the parsing.
Latest Video
Contributions
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