Nilo Pedrazzini

Postdoctoral Research Associate

Greater Oxford Area United Kingdom
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Summary

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Senior
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Top School
Nilo Pedrazzini is a postdoctoral researcher and computational linguist with eight years’ experience applying quantitative data analysis, NLP, and digital humanities methods to historical and typologically diverse languages. Currently working on literary innovation at Queen Mary and probing multilingual LLMs at the University of Oslo, he brings a rare blend of large-scale corpus engineering and linguistic typology grounded in a DPhil from Oxford. As a former Turing Research Fellow he has built noisy-text embedding pipelines for diachronic semantic analysis, improved digitized newspaper infrastructures, and adapted transformers for geoscience nowcasting—demonstrating versatility across domains. His background in Slavonic studies and rare-book cataloguing informs a meticulous approach to messy historical data, while teaching and RSE roles reflect strong reproducibility and tooling instincts.
code8 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at University of Oxford
bookBachelor of Arts - BA, Modern Languages and Cultures (Russian and English), Bachelor of Arts - BA, Modern Languages and Cultures (Russian and English) at Università di Pavia
bookVisiting PhD Student, Linguistics, Visiting PhD Student, Linguistics at Universitetet i Oslo (UiO) | University of Oslo
languagesItalian, English, Russian, Spanish, Serbian, German, French
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Github Skills (22)

bilstm10
word-embeddings8
digital-humanities7
python7
parser7
big-data6
phonetics5
acl4
natural-language-processing4
creative-commons4
computational-linguistics3
data-science3
multimodal3
classification2
data-analysis2

Programming languages (5)

C++JavaScriptJupyter NotebookRubyPython

Github contributions (5)

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npedrazzini/OldSlavNet

Sep 2020 - Sep 2022

Bi-LSTM Parser for Early Slavic
Contributions:4 releases, 64 commits, 6 PRs in 1 year 11 months
bilstmparserdepedency-parsingneural-networkspython
Tools to train and explore diachronic word embeddings from Big Historical Data
Contributions:2 reviews, 46 commits, 5 PRs in 4 months
word-embeddingsbig-datachangepoint-detectiondiachronic-embeddingssemantic-change
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