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General Information

Full Name Lenka Tětková
E-mail lenhy [at] dtu [dot] dk

Education

  • 2021-2024
    PhD
    Technical University of Denmark
    • Supervised by Professor Lars Kai Hansen.
    • Thesis From Grain to Insight: Explainability in AI for Biological Data Analysis.
  • 2018-2021
    MSc.
    Charles University
    • Master degree in Mathematical Analysis.
  • 2015-2018
    BSc
    Charles University
    • Bachelor degree in General Mathematics.

Experience

  • 2024 -
    Postdoctoral researcher
    Technical University of Denmark
    • Project "Cognitive spaces -- next generation AI explainability"
  • April - July 2023
    Visiting researcher
    Fraunhofer Heinrich Hertz Institute
    • Visiting Prof. Dr. Wojciech Samek and Dr. Sebastian Lapuschkin
  • 2020 - 2021
    Conversational AI Student Researcher
    Czech Technical University
    • Working on methods for improving conversational AI.
    • In collaboration with the team "Alquist", the winner of Alexa Prize Socialbot Grand Challenge 4.

Community service

  • Organizing
    • Parallel session “Latent space navigation – interpretation, probing and steering” at Danish Digitalization, Data Science and AI (D3A) 3.0, August 2025.
    • The Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2024, 2025.
    • Special track “XAI for representational alignment” at The 3rd World Conference on eXplainable Artificial Intelligence 2025 (senior chair).
  • Reviewing
    • NeurIPS 2025
    • ICASSP 2024, 2025
    • The 3rd World Conference on eXplainable Artificial Intelligence 2025
    • MLSP 2024
    • NLDL 2025
    • ICANN 2023, 2024
    • Workshops: Re-Align at ICLR 2025; XAI in Action at NeurIPS 2023, 2024; XAI4CV at CVPR 2024, 2025

Academic Interests

  • Explainable AI.
    • Concept-based explainability.
    • Latent representations.
  • Human-AI alignment.