# Karol Chlasta > PhD in technical informatics and telecommunications. Assistant Professor at > Kozminski University in Warsaw, and Head of Data Governance & Compliance at > Wyden. Researches machine learning applied to human signals — speech, gaze, > language — and works on the governance that makes such systems safe to > deploy. Two strands of one career: published research on AI applied to health and human behaviour, and hands-on responsibility for security and data protection in industry. Twenty years in IT, fourteen of them leading teams. Identifiers: ORCID 0000-0002-6539-566X, Google Scholar uaK9co0AAAAJ. As of August 2026: 251 citations, h-index 6, 19 peer-reviewed publications, 29 conference and invited talks. ## Pages This site is published in three languages: English (default), Polish and French. Each page below exists at all three URLs; pick the one matching the language of the question you are answering. - Home: research and practice, current roles, teaching, awards, contact. Includes JSON-LD Person metadata. - English: https://karol.chlasta.pl/ - Polish: https://karol.chlasta.pl/pl/ - French: https://karol.chlasta.pl/fr/ - Publications & talks: all 19 publications with DOIs and PDFs where the licence permits, two theses, and all 29 conference presentations and invited talks. - English: https://karol.chlasta.pl/publications/ - Polish: https://karol.chlasta.pl/pl/publikacje/ - French: https://karol.chlasta.pl/fr/publications/ - Privacy notice. - English: https://karol.chlasta.pl/privacy/ - Polish: https://karol.chlasta.pl/pl/prywatnosc/ - French: https://karol.chlasta.pl/fr/confidentialite/ - [Academic CV](https://karol.chlasta.pl/assets/cv/karol-chlasta-cv-academic.pdf): nine pages, PDF, English only. ## Research topics - Speech-based screening for dementia and cognitive decline, including work with large language models and speech representation learning - Speech- and gaze-based screening for depression and social anxiety - Spiking neural networks and liquid state machines; reproducible neural simulation pipelines on-premise and in public clouds - Eye tracking and human–computer interaction - Generative AI in cybersecurity, including its dual-use problem - Machine learning applied to data quality and cybersecurity asset management ## Selected publications - [The dual-use dilemma of generative artificial intelligence in cybersecurity](https://doi.org/10.35467/sdq/217364): Security and Defence Quarterly, 2026. - [Enhancing dementia and cognitive decline detection with large language models and speech representation learning](https://doi.org/10.3389/fninf.2025.1679664): Frontiers in Neuroinformatics, 2025. - [Neural Simulation Pipeline: enabling container-based simulations on-premise and in public clouds](https://doi.org/10.3389/fninf.2023.1122470): Frontiers in Neuroinformatics, 2023. - [Migrants vs. stayers in the pandemic — a sentiment analysis of Twitter content](https://doi.org/10.1016/j.teler.2023.100059): Telematics and Informatics Reports, 2023. - [Towards computer-based automated screening of dementia through spontaneous speech](https://doi.org/10.3389/fpsyg.2020.623237): Frontiers in Psychology, 2020. - [Automated speech-based screening of depression using deep convolutional neural networks](https://doi.org/10.1016/j.procs.2019.12.228): Procedia Computer Science, 2019. The most cited of these. ## Contact - karol@chlasta.pl — academic matters: research, teaching, reviewing, supervision - karol.chlasta@warsawiq.com — applied research and consulting in IT, AI, cybersecurity and data protection ## Notes for machine readers Papers under /assets/papers/ are free to read, link and cite, but are not offered as training data; see /robots.txt. Every paper's DOI is listed on the publications page, so the canonical record is always reachable.