Nicolay Rusnachenko

Post-Doctoral Research Fellow In Marking Medical Images With NLP at Bournemouth University

Poole, England, United Kingdom
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Summary

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Nicolay Rusnachenko is a multi-disciplinary NLP researcher and software engineer with 10 years’ experience, currently a Post-Doctoral Research Fellow at Bournemouth University applying language models to mark and interpret medical images. He holds a PhD in NLP and has driven research across multilingual and multi-modal information retrieval, recommender systems, and sentiment/relation extraction, publishing at venues like SemEval and LOD. Nicolay blends academic rigor with practical engineering—previous roles include Large Language Model data science, .NET full-stack development for high-throughput surveillance systems, and contributions to medical search-log analysis. His work often bridges creative industries and healthcare, aiming to transform training and clinical workflows with digital technologies. Less obvious: he pairs deep model work (LongT5 pretraining, transformer-based approaches) with hands-on systems experience in C#, MongoDB and Python, enabling research that is both reproducible and production-ready.
code10 years of coding experience
job6 years of employment as a software developer
bookRuSSIR (Summer School, Certificate of Attendance), Computer Science, RuSSIR (Summer School, Certificate of Attendance), Computer Science at Institute of Computational Mathematics and Information Technologies, Kazan Federal University
bookRuSSIR (Summer School, Certificate of Attendance, Machine Learning, RuSSIR (Summer School, Certificate of Attendance, Machine Learning at Ural State University named after A.M.Gorky
bookRuSSIR (Summer School, Certificate of Attendance), RuSSIR (Summer School, Certificate of Attendance) at Saratov State University named after N.G.Chernyshevsky
bookNational Center for Scientific Research "Demokritos"​
bookPostgraduate Degree, Postgraduate Degree at Moscow State University
bookDoctor of Philosophy - PhD, NLP (Sentiment Analysis, Relation Extraction, NLP), Doctor of Philosophy - PhD, NLP (Sentiment Analysis, Relation Extraction, NLP) at Bauman Moscow State Technical University
bookInstituto Superior Técnico
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Stackoverflow

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Github Skills (100)

language-model10
memory-efficient10
mass10
batching10
bulk-operation10
relationship-extraction10
deep-learning10
self-attention10
dialogue-systems10
brat10
medical10
image-analysis10
twitter10
bilstm10
acl10

Programming languages (4)

TypeScriptSvelteJupyter NotebookPython

Github contributions (5)

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nicolay-r/AREnets

Dec 2022 - Jan 2023

Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
Contributions:2 releases, 166 commits, 15 PRs in 1 month
classificationneural-networkrelation-extractiontensorflowbilstm
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
Contributions:4 PRs, 20 pushes, 10 branches in 2 years 6 months
nlpextractionbertlanguage-processingdedicated
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