Research Group Trustworthy AI for Science

Research Areas & Vision

Trustworthy AI: to develop trustworthy, transparent, and responsible AI technologies

AI for Science: to harness intelligent systems to accelerate scientific discovery (e.g., in biology, chemistry, physics, education)

The Trustworthy AI for Science (TAIS) group’s vision is to advance trustworthy intelligence that not only
strengthens the reliability, security, and robustness of AI systems, but also transforms scientific discovery by
empowering researchers with AI tools that accelerate insight, innovation, and societal impact.

Research projects

  • UL-IAS Audacity GENERIC (04/2022-09/2026)

  • UL-IAS YIA KDReCell (03/2025-02/2028)

  • LISER Innovation Project AIDCO (09/2025-11/2026)

  • FNR INTER EdgeCR (11/2024-07/2029)

  • FNR CORE Junior GALICIA (02/2026-01/2029)

  • FNR BRIDGES HPC-AI GenePPS (09/2026-08/2028)

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