Lenka Tetková

Lenka Tetková is a Postdoctoral Research Fellow at the Technical University of Denmark, affiliated with the School of Computing and the Cognitive Systems department. Her work focuses on Artificial Intelligence, Machine Learning, and their applications in Speech Recognition, Image Classification, and Biological Data Analysis.

Her research explores Transformer stacks in speech models, convex decision regions in deep networks, and explainable AI for biological systems. She also investigates model pruning to reduce computational effort while maintaining performance.

Her recent publications highlight trends in speech representation models, neural network convexity, and hybrid symbolic-AI approaches for resource-constrained environments. These works span computer science, engineering, and biological data analysis.

Lenka collaborates with researchers like Dr. Lars Kai Hansen and contributes to interdisciplinary projects at the intersection of AI, signal processing, and life sciences.