Kateryna Tymoshenko is a Research Scientist in AI based in Eindhoven with a decade of experience applying NLP and machine learning to real-world problems. She holds a PhD from the University of Trento where her dissertation introduced a general framework for leveraging background knowledge (Linked Open Data and Wikipedia) to improve tasks like relation extraction and coreference resolution. Her recent work focuses on automatic fact-checking, factoid and community question answering, blending deep learning with kernel-based methods and SVMs. At Philips she translates research insights into applied AI solutions, building on prior postdoctoral projects and industry research internships. She combines strong academic foundations with practical experience in industry research centers, and often surfaces semantic features from knowledge bases to boost NLP performance. Colleagues describe her as a pragmatic researcher who bridges symbolic knowledge and neural methods to tackle misinformation and QA challenges.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Systems Analysis, 5 out of 5, Master's degree, Computer Systems Analysis, 5 out of 5 at Dnipropetrovs'kij Nacional'nij Universitet
Doctor of Philosophy (PhD), Information and Communication Technologies, Doctor of Philosophy (PhD), Information and Communication Technologies at Università degli Studi di Trento
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Kateryna Tymoshenko - Research Scientist AI at Philips