Tomas Hruz

Dr. Tomas Hruz is a Researcher at the Institute of Theoretical Computer Science at ETH Zurich, Switzerland. His work focuses on advancing open science practices, knowledge graph technologies, and the ethical application of large language models (LLMs). He contributes to initiatives like the Open Research Knowledge Graph (ORKG) and Project Alexandria, aiming to enhance scientific accessibility and reproducibility. His research spans theoretical computer science, AI ethics, and collaborative knowledge systems.

Key areas of interest include scholarly communication reform, FAIR data principles, and leveraging AI for systematic literature reviews. He has published extensively on topics such as knowledge graph applications, metadata interoperability, and synthetic data in healthcare research. His contributions address challenges in reproducibility, ethical AI development, and interdisciplinary collaboration.

Dr. Hruz is actively involved in the German National Research Data Infrastructure (NFDI), particularly in ontology development and semantic publishing. His recent work explores the potential of LLMs in scientific workflows, including abstract summarization and leaderboard tracking. Collaborations with international teams highlight his commitment to advancing open science through technological innovation.