Post-Doctoral Research Fellow In Marking Medical Images With NLP at Bournemouth University
Poole, England, United Kingdom
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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.
10 years of coding experience
6 years of employment as a software developer
RuSSIR (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
RuSSIR (Summer School, Certificate of Attendance, Machine Learning, RuSSIR (Summer School, Certificate of Attendance, Machine Learning at Ural State University named after A.M.Gorky
RuSSIR (Summer School, Certificate of Attendance), RuSSIR (Summer School, Certificate of Attendance) at Saratov State University named after N.G.Chernyshevsky
National Center for Scientific Research "Demokritos"
Postgraduate Degree, Postgraduate Degree at Moscow State University
Doctor 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
📖 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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Nicolay Rusnachenko - Post-Doctoral Research Fellow In Marking Medical Images With NLP at Bournemouth University