Andrey Kutuzov
Associate Professor
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolAndrey Kutuzov is an associate professor in natural language processing at the University of Oslo with 12 years of experience bridging academic research and practical NLP engineering. His PhD work focused on diachronic semantic change detection using word embeddings, and he continues to advance methods for tracing meaning shifts over time with deep learning and vector semantic models. Andrey has practical industry experience as a computational linguist for Mail.ru and Lionbridge, applying corpus-driven techniques to search and grammar checking. He contributes to open-source NLP tooling—improving evaluation and analogy tests in the widely used gensim library—bringing rigorous evaluation practices to word-embedding research. Based in Oslo, he combines teaching, research, and code contributions to make theoretical advances reproducible and applicable. Colleagues value his blend of linguistic insight and hands-on model engineering that turns historical semantic questions into deployable tools.
12 years of coding experience
2 years of employment as a software developer
University of OsloSpecialist, Linguistics, Specialist, Linguistics at Tyumen State UniversityMaster's degree, computational linguistics, Master's degree, computational linguistics at Higher School of Economics
English, Russian, Norwegian
Github Skills (9)
word-embeddings10
gensim10
topic-modeling10
nlp10
python10
data-science10
word2vec9
machine-learning9
fasttext7
Programming languages (9)
Github contributions (5)
piskvorky/gensim
Dec 2016 - Jul 2018
Topic Modelling for Humans
Role in this project:
Data Scientist
Data ScientistContributions:8 commits, 10 PRs, 68 comments in 1 year 6 months
Contributions summary:Andrey primarily contributed to the improvement and evaluation of word embedding models within the gensim library. Their work involved enhancing the `evaluate_word_pairs` function, fixing bugs related to non-ASCII characters, and implementing a new `evaluate_word_analogies` method. The user also addressed parameter descriptions and optimized parts of the code related to the analogy and word pair evaluation processes.
pythonword-similarityword-embeddingsdata-miningfor-humans
rusnlp/rusnlp
Feb 2018 - Apr 2021
map of russian nlp papers
Contributions:14 reviews, 116 commits, 19 PRs in 3 years 2 months
nlpnatural-language-processingmaptopic-modeling
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