PhD · Warsaw, Poland

AI research and security governance, in one career.

Assistant Professor at Kozminski University. Head of Data Governance & Compliance at Wyden. Twenty years spent moving ideas from a paper into systems that survive an audit.

Karol Chlasta, standing portrait in a navy suit against a navy backdrop
252
Citations
6
h-index
19
Peer-reviewed publications
28
Conference talks

Citation metrics from Google Scholar, July 2026.

Two halves of the same work

Machine learning on human signals

Speech-based screening for dementia and depression, spiking neural networks and liquid state machines, eye tracking and human–computer interaction. Published in Frontiers in Neuroinformatics and Frontiers in Psychology.

My doctorate, defended summa cum laude at the Polish-Japanese Academy of Information Technology in 2023, built a reproducible simulation pipeline for liquid state machines, with computing time granted by the Hasso-Plattner-Institut in Potsdam.

Governance for systems under audit

Twenty years in IT, fourteen of them leading teams, and a deliberate move from systems development into cybersecurity. At Wyden: certification programmes across ISO, ISAE and GDPR, policy governance and internal compliance. At Sportradar: security assessments and regulatory and client audits, with teams in Warsaw, Vienna, Bratislava and London. At Aviva: vulnerability management and penetration testing across the Group Platforms estate. ISO/IEC 27001:2022 Lead Implementer, certified by BSI.

Head of Data Governance & Compliance at Wyden, the global leader in institutional digital-asset trading technology, where data protection runs under two regimes at once: Data Protection Advisor (DPA) under the revised Swiss Federal Act on Data Protection, and Data Protection Officer (DPO) for the Polish entity under the GDPR. Previously Head of Security Advisory at Sportradar, CISO at Technicus and IT Security Manager for Aviva's Group Platforms.

Now

Selected publications

  1. Chlasta, K. (2026). The dual-use dilemma of generative artificial intelligence in cybersecurity. Security and Defence Quarterly, 52(4). DOI
  2. Chlasta, K., Struzik, P., & Wójcik, G. M. (2025). Enhancing dementia and cognitive decline detection with large language models and speech representation learning. Frontiers in Neuroinformatics, 19. DOI
  3. Chlasta, K., Sochaczewski, P., Wójcik, G. M., & Krejtz, I. (2023). Neural Simulation Pipeline: Enabling container-based simulations on-premise and in public clouds. Frontiers in Neuroinformatics, 17. DOI
  4. Czeranowska, O., Chlasta, K., et al. (2023). Migrants vs. stayers in the pandemic — a sentiment analysis of Twitter content. Telematics and Informatics Reports, 10. DOI
  5. Chlasta, K., Wołk, K., & Krejtz, I. (2019). Automated speech-based screening of depression using deep convolutional neural networks. Procedia Computer Science, 164, 618–628. Cited 113 times. DOI

See all 19 publications →

Speaking

  1. “Automated Ownership Attribution of Cybersecurity Assets Using FQDN-Based Machine Learning Models” — International Conference on New and Emerging Technologies in Defence Education, Training and Governance, War Studies University, Warsaw, May 2026.
  2. “Generative AI in Cybersecurity: Emerging Threats, Defensive Strategies, and Standards” — AI Frontiers in Cybersecurity and Infrastructure Protection, War Studies University, Warsaw, May 2025.
  3. “Building Intelligent Cybersecurity Asset Management Framework with Machine Learning” — The Hack Summit 2024, National Stadium, Warsaw, October 2024.
  4. “Building an Intelligent Address Validator with Machine Learning” — Data Science Summit 2023, National Stadium, Warsaw, November 2023.
  5. “Liquid State Machine for Neuronal Computations on High Performance Computing Systems” — International Conference on Telemedicine & eHealth, Warsaw, September 2021. Best presentation award — 1st place

See all 28 talks →

Teaching & service

Teaching

  • Survey of Programming Languages, and Cloud Infrastructure and Business IT Tools — Kozminski University, in English, since 2021
  • Introduction to Machine Learning, AI Solution Architectures, and Introduction to Big Data — Polish-Japanese Academy of Information Technology, 2019–2025
  • Business Intelligence Systems and Modern Database Systems — University of Information Technology and Management, Olsztyn

Certified instruction

  • AWS Academy Certified Instructor and institutional point of contact — around 200 students have completed Cloud Foundations since 2024
  • Huawei ICT Academy Certified Instructor — led the first Huawei cloud computing training group in Poland
  • Visiting professor at Montpellier Business School (2025) and IADE-Universidade Europeia in Lisbon (2024)

Service to the field

  • Peer reviewer for ACM Multimedia, Scientific Reports (Nature Portfolio) and Neurocomputing
  • Programme committee, 27th European Conference on Advances in Databases and Information Systems (ADBIS), PeRS workshop
  • Expert reviewer of grant proposals for PFRON, and invited contributor to the State of Warsaw AI Report

Awards

Beyond work

Photography, and running. Fourteen marathon and ultra finishes since 2018 — Warsaw, Tel Aviv, Belfast, Amsterdam, Mexico City, Bruges, and a personal best of 3:57:14 in Rome in 2025 — plus the Triada Ultra 50 km hill race.

Also skiing, and Linux since 2003. I read in Polish, English and French.

Karol Chlasta in a running vest at the start line of an ultramarathon

Contact

karol@chlasta.pl
Academia — research, teaching, reviewing, supervision
karol.chlasta@warsawiq.com
Applied research & consulting — IT / AI / cybersecurity / data protection.
Data Protection Officer (DPO) under the GDPR; Data Protection Advisor (DPA) under the Swiss FADP.