Krzysztof Wołk
Krzysztof Wołk is an AI researcher whose work spans speech translation, Polish-language NLP and machine learning for health. He coauthored Polish-English statistical speech-translation research for IWSLT and explored real-time translation with speech recognition and synthesis. At the Polish-Japanese Academy of Information Technology, he earned a 2016 doctorate in technical computer science for a dissertation on speech translation with comparable corpora. His work includes a 2017 paper on automated medical article analysis for genetic diagnosis, a 2018 neural translation survey, a 2019 Polish NLP evaluation paper and a 2021 speech-based dementia study; in 2026, he coauthors a review of AI in orthopaedics. As of October 2026, he is an associate professor at the Academy’s Cathedral of Multimedia, where he leads research in natural language processing and machine learning.
Timeline
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2013–2015
Speech translation for IWSLT
With Krzysztof Marasek, he coauthors a Polish-English statistical machine translation system for the IWSLT 2013 evaluation campaign. The team uses TED parallel text to train, develop, tune and test the system. A 2015 preprint by the pair explores real-time statistical speech translation, with recognition and synthesis software in a pipeline for voice communication.
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2016
A doctorate in speech translation
He completes a doctorate in technical computer science at the Polish-Japanese Academy of Information Technology in 2016. His dissertation studies statistical machine translation of speech enhanced by comparable corpora under supervisor Krzysztof Marasek.
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2017
Automated medical article analysis
In 2017, he coauthors “Automated Medical Articles Analysis for Human Genetic Diagnostic” with E. Zawadzka and K. Marasek. The paper appears in Procedia Computer Science, volume 121, pages 797–802.
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2018
Neural translation into Polish
In 2018, he and Krzysztof Marasek coauthor a survey of neural machine translation into Polish for the International Conference on Multimedia and Network Information System.
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2019
Evaluating Polish NLP tools
He coauthors “PolEval 2019 — the Next Chapter in Evaluating Natural Language Processing Tools for Polish,” a paper in the 2019 Human Language Technologies conference volume.
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2021
Dementia screening from speech
In 2021, he and Karol Chlasta use spontaneous speech from the Interspeech 2020 ADReSS challenge to classify Alzheimer’s dementia. They extract audio features with pretrained VGGish and use Scikit-learn classifiers.
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2026
AI in orthopaedics
In 2026, he coauthors a review of AI in orthopaedics and musculoskeletal care. The review covers diagnostic imaging, surgical planning, risk prediction, rehabilitation and digital health ecosystems.
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As of October 2026
Associate professor at PJAIT
As of October 2026, he is an associate professor at the Cathedral of Multimedia at the Polish-Japanese Academy of Information Technology. He leads research in natural language processing and machine learning based on statistical methods and neural networks.
Career
- NowPolish-Japanese Academy of Information TechnologyAssociate professor
Education
- 2016Polish-Japanese Academy of Information TechnologyDoctorate in technical computer science
Sources and credits
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- [1509.09097] Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2013
- [1509.09090] Real-Time Statistical Speech Translation
- Awarding a doctoral degree on the basis of a doctoral dissertation - PJAIT
- Krzysztof Wołk | Researcher, Machine Learning Expert, IT Enthusiast!
- Scientific Publications | Krzysztof Wołk | Poster, Conferences, Monographs
- Department of Language Modelling
- Towards Computer-Based Automated Screening of Dementia Through Spontaneous Speech
- Artificial Intelligence in Orthopaedics: Clinical Performance, Limitations, and Translational Readiness-A Review